def buildAniVivoTbl(self):
colWidths = [1.0, 1.0, 1.0, 1.0, 0.5, 0.7, 1.2, 1.6, 1]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = (
f"Table 3 [Genotoxicity and related effects] of [{self.getAgent()}] in non-human "
"mammals in vivo"
)
tbl.new_th(0, 0, txt, colspan=9)
# write header
tbl.new_th(1, 0, "End-point")
tbl.new_th(1, 1, "Test")
tbl.new_th(1, 2, "Species, strain, sex")
tbl.new_th(1, 3, "Tissue")
tbl.new_th(1, 4, "Results")
tbl.new_th(1, 5, "Agent, dose (LED or HID)")
tbl.new_th(1, 6, "Route, duration, dosing regimen")
tbl.new_th(1, 7, "Comments")
tbl.new_th(1, 8, "Reference")
row = 2
for d in self.context["animalInVivo"]:
tbl.new_td_txt(row, 0, d["endpoint"])
tbl.new_td_txt(row, 1, d["endpointTest"])
txt = f'{d["species"]} {d["strain"]} { d["sex"]}'
tbl.new_td_txt(row, 2, txt)
tbl.new_td_txt(row, 3, d["tissueAnimal"])
tbl.new_td_txt(row, 4, d["result"])
txt = dedent(
f"""\
{d["agent"]}
LED/HID: {d["wrd_led"]} {d["units"]}"""
)
tbl.new_td_txt(row, 5, txt)
txt = dedent(
f"""\
{d["dosingRoute"]};
{d["dosingDuration"]}"""
)
tbl.new_td_txt(row, 6, txt)
tbl.new_td_txt(row, 7, d["wrd_comments"])
tbl.new_td_txt(row, 8, d["reference"]["name"])
row += 1
tbl.render(self.doc)
self.doc.add_paragraph(ANIMAL_VIVO_FOOTNOTE)
self.doc.add_page_break()
def buildTable(self):
colWidths = [1, 1, 1, 1, 1, 1, 1, .7, 1]
tbl = TableMaker(colWidths,
numHeaders=1,
tblStyle="ntpTbl",
firstRowCaption=False)
# write header
tbl.new_th(0, 0, "Reference,\nagent")
tbl.new_th(0, 1, "Location,\ndate")
tbl.new_th(0, 2, "Setting,\nscenario")
tbl.new_th(0, 3, "Sampling\nmatrix")
tbl.new_th(0, 4, "Number of\nsubjects")
tbl.new_th(0, 5, "Mean,\nrange,\nunits")
tbl.new_th(0, 6, "Endpoint &\nsignificance")
tbl.new_th(0, 7, "Result")
tbl.new_th(0, 8, "Covariates controlled")
row = 1
for ref in self.context["objects"]:
rowspan = len(ref["results"])
txt = f"{ref['reference']['name']}\n{ref['agent']}"
tbl.new_td_txt(row, 0, txt, rowspan=rowspan)
txt = f"{ref['location']}\n{ref['collectionDate']}"
tbl.new_td_txt(row, 1, txt, rowspan=rowspan)
for result in ref["results"]:
txt = f"{result['exposureSetting']}\n{result['exposureScenario']}"
tbl.new_td_txt(row, 2, txt)
txt = result["samplingMatrix"]
tbl.new_td_txt(row, 3, txt)
txt = result["numberSubjects"]
tbl.new_td_txt(row, 4, txt)
txt = f"{result['exposureLevel']}\n{result['exposureLevelRange']}\n{result['units']}"
tbl.new_td_txt(row, 5, txt)
txt = f"{result['endpoint']}\n{result['significancePrint']}"
tbl.new_td_txt(row, 6, txt)
txt = result["result"]
tbl.new_td_txt(row, 7, txt)
txt = ",\n".join(result["covariates"])
tbl.new_td_txt(row, 8, txt)
row += 1
tbl.render(self.doc)
def buildTable(self):
colWidths = [1, 1, 1, 1, 1, 1, 1, .7, 1]
tbl = TableMaker(
colWidths, numHeaders=1, tblStyle="ntpTbl", firstRowCaption=False
)
# write header
tbl.new_th(0, 0, "Reference,\nagent")
tbl.new_th(0, 1, "Location,\ndate")
tbl.new_th(0, 2, "Setting,\nscenario")
tbl.new_th(0, 3, "Sampling\nmatrix")
tbl.new_th(0, 4, "Number of\nsubjects")
tbl.new_th(0, 5, "Mean,\nrange,\nunits")
tbl.new_th(0, 6, "Endpoint &\nsignificance")
tbl.new_th(0, 7, "Result")
tbl.new_th(0, 8, "Covariates controlled")
row = 1
for ref in self.context["objects"]:
rowspan = len(ref["results"])
txt = f"{ref['reference']['name']}\n{ref['agent']}"
tbl.new_td_txt(row, 0, txt, rowspan=rowspan)
txt = f"{ref['location']}\n{ref['collectionDate']}"
tbl.new_td_txt(row, 1, txt, rowspan=rowspan)
for result in ref["results"]:
txt = f"{result['exposureSetting']}\n{result['exposureScenario']}"
tbl.new_td_txt(row, 2, txt)
txt = result["samplingMatrix"]
tbl.new_td_txt(row, 3, txt)
txt = result["numberSubjects"]
tbl.new_td_txt(row, 4, txt)
txt = f"{result['exposureLevel']}\n{result['exposureLevelRange']}\n{result['units']}"
tbl.new_td_txt(row, 5, txt)
txt = f"{result['endpoint']}\n{result['significancePrint']}"
tbl.new_td_txt(row, 6, txt)
txt = result["result"]
tbl.new_td_txt(row, 7, txt)
txt = ",\n".join(result["covariates"])
tbl.new_td_txt(row, 8, txt)
row += 1
tbl.render(self.doc)
def buildAniVivoTbl(self):
colWidths = [1.0, 1.0, 1.0, 1.0, 0.5, 0.7, 1.2, 1.6, 1]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = (
f"Table 3 [Genotoxicity and related effects] of [{self.getAgent()}] in non-human "
"mammals in vivo")
tbl.new_th(0, 0, txt, colspan=9)
# write header
tbl.new_th(1, 0, "End-point")
tbl.new_th(1, 1, "Test")
tbl.new_th(1, 2, "Species, strain, sex")
tbl.new_th(1, 3, "Tissue")
tbl.new_th(1, 4, "Results")
tbl.new_th(1, 5, "Agent, dose (LED or HID)")
tbl.new_th(1, 6, "Route, duration, dosing regimen")
tbl.new_th(1, 7, "Comments")
tbl.new_th(1, 8, "Reference")
row = 2
for d in self.context["animalInVivo"]:
tbl.new_td_txt(row, 0, d["endpoint"])
tbl.new_td_txt(row, 1, d["endpointTest"])
txt = f'{d["species"]} {d["strain"]} { d["sex"]}'
tbl.new_td_txt(row, 2, txt)
tbl.new_td_txt(row, 3, d["tissueAnimal"])
tbl.new_td_txt(row, 4, d["result"])
txt = dedent(f"""\
{d["agent"]}
LED/HID: {d["wrd_led"]} {d["units"]}""")
tbl.new_td_txt(row, 5, txt)
txt = dedent(f"""\
{d["dosingRoute"]};
{d["dosingDuration"]}""")
tbl.new_td_txt(row, 6, txt)
tbl.new_td_txt(row, 7, d["wrd_comments"])
tbl.new_td_txt(row, 8, d["reference"]["name"])
row += 1
tbl.render(self.doc)
self.doc.add_paragraph(ANIMAL_VIVO_FOOTNOTE)
self.doc.add_page_break()
def buildOccupationalTable(self, exposures):
colWidths = [1.7, 1, 1.7, 1.3, 2.0, 1.3]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = "Occupational exposure data"
tbl.new_th(0, 0, txt, colspan=6)
# write header
tbl.new_th(1, 0, "Industry, country, year")
tbl.new_th(1, 1, "Job/process")
tbl.new_th(1, 2, "Mean, agent")
tbl.new_th(1, 3, "Range")
tbl.new_th(1, 4, "Comments/\nadditional data")
tbl.new_th(1, 5, "References")
row = 2
for exp in exposures:
for res in exp["results"]:
runs = [
tbl.new_run(exp["occupation"], newline=True, b=True),
tbl.new_run(
f'{exp["location"] or "Not-reported"}, {exp["collectionDate"]}',
newline=False,
),
]
tbl.new_td_run(row, 0, runs)
txt = exp["occupationInfo"] or ""
tbl.new_td_txt(row, 1, txt)
txt = (
f'{res["exposureLevel"]} {res["units"]} ({res["exposureLevelDescription"]}),'
f' {res["agent"]}'
)
tbl.new_td_txt(row, 2, txt)
txt = res["exposureRangePrint"]
tbl.new_td_txt(row, 3, txt)
txt = exp["comments"] or ""
tbl.new_td_txt(row, 4, txt)
txt = exp["reference"]["name"]
tbl.new_td_txt(row, 5, txt)
row += 1
tbl.render(self.doc)
self.doc.add_page_break()
def buildOccupationalTable(self, exposures):
colWidths = [1.7, 1, 1.7, 1.3, 2.0, 1.3]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = "Occupational exposure data"
tbl.new_th(0, 0, txt, colspan=6)
# write header
tbl.new_th(1, 0, "Industry, country, year")
tbl.new_th(1, 1, "Job/process")
tbl.new_th(1, 2, "Mean, agent")
tbl.new_th(1, 3, "Range")
tbl.new_th(1, 4, "Comments/\nadditional data")
tbl.new_th(1, 5, "References")
row = 2
for exp in exposures:
for res in exp["results"]:
runs = [
tbl.new_run(exp["occupation"], newline=True, b=True),
tbl.new_run(
f'{exp["location"] or "Not-reported"}, {exp["collectionDate"]}',
newline=False,
),
]
tbl.new_td_run(row, 0, runs)
txt = exp["occupationInfo"] or ""
tbl.new_td_txt(row, 1, txt)
txt = (
f'{res["exposureLevel"]} {res["units"]} ({res["exposureLevelDescription"]}),'
f' {res["agent"]}')
tbl.new_td_txt(row, 2, txt)
txt = res["exposureRangePrint"]
tbl.new_td_txt(row, 3, txt)
txt = exp["comments"] or ""
tbl.new_td_txt(row, 4, txt)
txt = exp["reference"]["name"]
tbl.new_td_txt(row, 5, txt)
row += 1
tbl.render(self.doc)
self.doc.add_page_break()
def build_tbl(self, data):
tbl = TableMaker(
self.COLUMN_WIDTHS, numHeaders=1, firstRowCaption=False, tblStyle="ntpTbl"
)
# write header
tbl.new_th(
0, 0, "Reference, location follow-up/enrollment period, study-design"
) # noqa
tbl.new_th(
0, 1, "Population size, description, exposure assessment method"
) # noqa
tbl.new_th(0, 2, "Organ site")
tbl.new_th(0, 3, "Exposure category or level")
tbl.new_th(0, 4, "Exposed cases/ deaths")
tbl.new_th(0, 5, "Risk estimate (95% CI)")
tbl.new_th(0, 6, "Covariates controlled")
tbl.new_th(0, 7, "Comments")
docx_tbl = tbl.render(self.doc)
for d in data["descriptions"]:
inner_tbl = self._build_description(d)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def build_tbl(self, data):
tbl = TableMaker(
self.COLUMN_WIDTHS, numHeaders=1, firstRowCaption=False, tblStyle="ntpTbl"
)
# write header
tbl.new_th(
0,
0,
"Study design\nSpecies, strain (sex)\nAge at start\nDuration\nReference",
)
tbl.new_th(
0,
1,
"Route\nAgent tested, purity\nVehicle\nDose(s)\n"
"# animals at start\n# surviving animals",
)
tbl.new_th(0, 2, "Results")
tbl.new_th(0, 3, "Significance")
tbl.new_th(0, 4, "Comments")
docx_tbl = tbl.render(self.doc)
for d in data["studies"]:
inner_tbl = self._build_study(d)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def build_tbl(self, data):
tbl = TableMaker(self.COLUMN_WIDTHS,
numHeaders=1,
firstRowCaption=False,
tblStyle="ntpTbl")
# write header
tbl.new_th(
0,
0,
"Study design\nSpecies, strain (sex)\nAge at start\nDuration\nReference",
)
tbl.new_th(
0,
1,
"Route\nAgent tested, purity\nVehicle\nDose(s)\n"
"# animals at start\n# surviving animals",
)
tbl.new_th(0, 2, "Results")
tbl.new_th(0, 3, "Significance")
tbl.new_th(0, 4, "Comments")
docx_tbl = tbl.render(self.doc)
for d in data["studies"]:
inner_tbl = self._build_study(d)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def buildTable(self):
colWidths = [1.35, 1.8, 1.35, 0.9, 0.9, 0.9, 1.8]
tbl = TableMaker(
colWidths, numHeaders=1, tblStyle="ntpTbl", firstRowCaption=False
)
# write header
tbl.new_th(0, 0, "Reference")
tbl.new_th(0, 1, "Test system")
tbl.new_th(0, 2, "Endpoint/\ntest")
tbl.new_th(0, 3, "Results")
tbl.new_th(0, 4, "Results (with metabolic activation)")
tbl.new_th(0, 5, "Agent, LED/HID dose")
tbl.new_th(0, 6, "Comments")
row = 0
for d in self.context["objects"]:
row += 1
txt = dedent(
f"""\
{d['reference']['name']}
{d['dataClass']}"""
)
tbl.new_td_txt(row, 0, txt)
txt = d["col2"]
tbl.new_td_txt(row, 1, txt)
txt = d["col3"]
tbl.new_td_txt(row, 2, txt)
txt = d["col4"]
tbl.new_td_txt(row, 3, txt)
txt = d["col5"]
tbl.new_td_txt(row, 4, txt)
txt = d["col6"]
tbl.new_td_txt(row, 5, txt)
txt = d["wrd_comments"]
tbl.new_td_txt(row, 6, txt)
tbl.render(self.doc)
def buildEnviroMixedTables(self, exposures, title):
colWidths = [2, 1.5, 1.5, 2, 2]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
tbl.new_th(0, 0, title, colspan=5)
# write header
tbl.new_th(1, 0, "Region, country (city)")
tbl.new_th(1, 1, "Mean, agent")
tbl.new_th(1, 2, "Range")
tbl.new_th(1, 3, "Comments/\nadditional data")
tbl.new_th(1, 4, "References")
row = 2
for exp in exposures:
for res in exp["results"]:
runs = [
tbl.new_run(exp["country"], newline=True, b=True),
tbl.new_run(
f'{exp["location"] or "Not-reported"}, {exp["collectionDate"]}',
newline=False,
),
]
tbl.new_td_run(row, 0, runs)
txt = (
f'{res["exposureLevel"]} {res["units"]} ({res["exposureLevelDescription"]}),'
f' {res["agent"]}'
)
tbl.new_td_txt(row, 1, txt)
txt = res["exposureRangePrint"]
tbl.new_td_txt(row, 2, txt)
txt = exp["comments"] or ""
tbl.new_td_txt(row, 3, txt)
txt = exp["reference"]["name"]
tbl.new_td_txt(row, 4, txt)
row += 1
tbl.render(self.doc)
self.doc.add_page_break()
def buildTable(self):
colWidths = [1.35, 1.8, 1.35, 0.9, 0.9, 0.9, 1.8]
tbl = TableMaker(colWidths,
numHeaders=1,
tblStyle="ntpTbl",
firstRowCaption=False)
# write header
tbl.new_th(0, 0, "Reference")
tbl.new_th(0, 1, "Test system")
tbl.new_th(0, 2, "Endpoint/\ntest")
tbl.new_th(0, 3, "Results")
tbl.new_th(0, 4, "Results (with metabolic activation)")
tbl.new_th(0, 5, "Agent, LED/HID dose")
tbl.new_th(0, 6, "Comments")
row = 0
for d in self.context["objects"]:
row += 1
txt = dedent(f"""\
{d['reference']['name']}
{d['dataClass']}""")
tbl.new_td_txt(row, 0, txt)
txt = d["col2"]
tbl.new_td_txt(row, 1, txt)
txt = d["col3"]
tbl.new_td_txt(row, 2, txt)
txt = d["col4"]
tbl.new_td_txt(row, 3, txt)
txt = d["col5"]
tbl.new_td_txt(row, 4, txt)
txt = d["col6"]
tbl.new_td_txt(row, 5, txt)
txt = d["wrd_comments"]
tbl.new_td_txt(row, 6, txt)
tbl.render(self.doc)
def buildEnviroMixedTables(self, exposures, title):
colWidths = [2, 1.5, 1.5, 2, 2]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
tbl.new_th(0, 0, title, colspan=5)
# write header
tbl.new_th(1, 0, "Region, country (city)")
tbl.new_th(1, 1, "Mean, agent")
tbl.new_th(1, 2, "Range")
tbl.new_th(1, 3, "Comments/\nadditional data")
tbl.new_th(1, 4, "References")
row = 2
for exp in exposures:
for res in exp["results"]:
runs = [
tbl.new_run(exp["country"], newline=True, b=True),
tbl.new_run(
f'{exp["location"] or "Not-reported"}, {exp["collectionDate"]}',
newline=False,
),
]
tbl.new_td_run(row, 0, runs)
txt = (
f'{res["exposureLevel"]} {res["units"]} ({res["exposureLevelDescription"]}),'
f' {res["agent"]}')
tbl.new_td_txt(row, 1, txt)
txt = res["exposureRangePrint"]
tbl.new_td_txt(row, 2, txt)
txt = exp["comments"] or ""
tbl.new_td_txt(row, 3, txt)
txt = exp["reference"]["name"]
tbl.new_td_txt(row, 4, txt)
row += 1
tbl.render(self.doc)
self.doc.add_page_break()
def buildMammInVitroTbl(self):
colWidths = [0.9, 0.9, 2.2, 0.7, 0.7, 1.0, 1.6, 1]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = (
f"Table 4 [Genotoxicity and related effects] of [{self.getAgent()}] in non-human "
"mammalians in vitro"
)
tbl.new_th(0, 0, txt, colspan=8)
# write header
tbl.new_th(1, 0, "End-point")
tbl.new_th(1, 1, "Test")
tbl.new_th(1, 2, "Species/tissue/cell line")
tbl.new_th(1, 3, "Results/\nResults without metabolic activation")
tbl.new_th(1, 4, "Results with metabolic activation")
tbl.new_th(1, 5, "Agent, concentration (LEC or HIC)")
tbl.new_th(1, 6, "Comments")
tbl.new_th(1, 7, "Reference")
row = 2
for d in self.context["nonHumanInVitro"]:
tbl.new_td_txt(row, 0, d["endpoint"])
tbl.new_td_txt(row, 1, d["endpointTest"])
txt = f'{d["speciesMamm"]} {d["tissueCellLine"]}'
tbl.new_td_txt(row, 2, txt)
tbl.new_td_txt(row, 3, d["wrd_resultA"])
tbl.new_td_txt(row, 4, d["wrd_resultB"])
txt = f'{d["agent"]}, {d["wrd_led"]} {d["units"]}'
tbl.new_td_txt(row, 5, txt)
tbl.new_td_txt(row, 6, d["wrd_comments"])
tbl.new_td_txt(row, 7, d["reference"]["name"])
row += 1
tbl.render(self.doc)
self.doc.add_paragraph(MAMMAL_VITRO_FOOTNOTE)
self.doc.add_page_break()
def buildMammInVitroTbl(self):
colWidths = [0.9, 0.9, 2.2, 0.7, 0.7, 1.0, 1.6, 1]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = (
f"Table 4 [Genotoxicity and related effects] of [{self.getAgent()}] in non-human "
"mammalians in vitro")
tbl.new_th(0, 0, txt, colspan=8)
# write header
tbl.new_th(1, 0, "End-point")
tbl.new_th(1, 1, "Test")
tbl.new_th(1, 2, "Species/tissue/cell line")
tbl.new_th(1, 3, "Results/\nResults without metabolic activation")
tbl.new_th(1, 4, "Results with metabolic activation")
tbl.new_th(1, 5, "Agent, concentration (LEC or HIC)")
tbl.new_th(1, 6, "Comments")
tbl.new_th(1, 7, "Reference")
row = 2
for d in self.context["nonHumanInVitro"]:
tbl.new_td_txt(row, 0, d["endpoint"])
tbl.new_td_txt(row, 1, d["endpointTest"])
txt = f'{d["speciesMamm"]} {d["tissueCellLine"]}'
tbl.new_td_txt(row, 2, txt)
tbl.new_td_txt(row, 3, d["wrd_resultA"])
tbl.new_td_txt(row, 4, d["wrd_resultB"])
txt = f'{d["agent"]}, {d["wrd_led"]} {d["units"]}'
tbl.new_td_txt(row, 5, txt)
tbl.new_td_txt(row, 6, d["wrd_comments"])
tbl.new_td_txt(row, 7, d["reference"]["name"])
row += 1
tbl.render(self.doc)
self.doc.add_paragraph(MAMMAL_VITRO_FOOTNOTE)
self.doc.add_page_break()
def buildNonMammInVitroTbl(self):
colWidths = [0.8, 1.2, 0.9, 0.9, 0.7, 0.7, 1, 1.8, 1]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = (
f"Table 5 [Genotoxicity and related effects] of [{self.getAgent()}] in non-mammalian"
" species"
)
tbl.new_th(0, 0, txt, colspan=9)
# write header
tbl.new_th(1, 0, "Phylogenetic class")
tbl.new_th(1, 1, "Test system\n(species, strain)")
tbl.new_th(1, 2, "End-point")
tbl.new_th(1, 3, "Test")
tbl.new_th(1, 4, "Results/\nResults without metabolic activation")
tbl.new_th(1, 5, "Results with metabolic activation")
tbl.new_th(1, 6, "Agent, concentration (LEC or HIC)")
tbl.new_th(1, 7, "Comments")
tbl.new_th(1, 8, "Reference")
row = 2
for d in self.context["nonMammalianInVitro"]:
tbl.new_td_txt(row, 0, d["phylogeneticClass"])
tbl.new_td_txt(row, 1, d["wrd_testSystem"])
tbl.new_td_txt(row, 2, d["endpoint"])
tbl.new_td_txt(row, 3, d["endpointTest"])
tbl.new_td_txt(row, 4, d["wrd_resultA"])
tbl.new_td_txt(row, 5, d["wrd_resultB"])
tbl.new_td_txt(row, 6, d["wrd_experimental"])
tbl.new_td_txt(row, 7, d["wrd_comments"])
tbl.new_td_txt(row, 8, d["reference"]["name"])
row += 1
tbl.render(self.doc)
self.doc.add_paragraph(NONMAMMAL_VITRO_FOOTNOTE)
self.doc.add_page_break()
def buildHumanVivoTbl(self):
colWidths = [0.9, 1.2, 1.2, 1.3, 1.4, 0.8, 1.4, 0.8]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = f"Table 1 [Genotoxicity and related effects] of [{self.getAgent()}] in humans in vivo"
tbl.new_th(0, 0, txt, colspan=8)
# write header
tbl.new_th(1, 0, "End-point")
tbl.new_th(1, 1, "Test")
tbl.new_th(1, 2, "Tissue")
tbl.new_th(1, 3, "Cell type\n(if specified)")
tbl.new_th(1, 4, "Description of exposed and controls")
tbl.new_th(1, 5, "Response/ significance*")
tbl.new_th(1, 6, "Comments")
tbl.new_th(1, 7, "Reference")
row = 2
for d in self.context["humanInVivo"]:
tbl.new_td_txt(row, 0, d["endpoint"])
tbl.new_td_txt(row, 1, d["endpointTest"])
tbl.new_td_txt(row, 2, d["tissueHuman"])
tbl.new_td_txt(row, 3, d["cellType"])
tbl.new_td_txt(row, 4, d["exposureDescription"])
txt = f'{d["result"]} {d["wrd_significance"]}'
tbl.new_td_txt(row, 5, txt)
tbl.new_td_txt(row, 6, d["wrd_comments"])
tbl.new_td_txt(row, 7, d["reference"]["name"])
row += 1
tbl.render(self.doc)
self.doc.add_paragraph(HUMAN_VIVO_FOOTNOTE)
self.doc.add_page_break()
def buildNonMammInVitroTbl(self):
colWidths = [0.8, 1.2, 0.9, 0.9, 0.7, 0.7, 1, 1.8, 1]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = (
f"Table 5 [Genotoxicity and related effects] of [{self.getAgent()}] in non-mammalian"
" species")
tbl.new_th(0, 0, txt, colspan=9)
# write header
tbl.new_th(1, 0, "Phylogenetic class")
tbl.new_th(1, 1, "Test system\n(species, strain)")
tbl.new_th(1, 2, "End-point")
tbl.new_th(1, 3, "Test")
tbl.new_th(1, 4, "Results/\nResults without metabolic activation")
tbl.new_th(1, 5, "Results with metabolic activation")
tbl.new_th(1, 6, "Agent, concentration (LEC or HIC)")
tbl.new_th(1, 7, "Comments")
tbl.new_th(1, 8, "Reference")
row = 2
for d in self.context["nonMammalianInVitro"]:
tbl.new_td_txt(row, 0, d["phylogeneticClass"])
tbl.new_td_txt(row, 1, d["wrd_testSystem"])
tbl.new_td_txt(row, 2, d["endpoint"])
tbl.new_td_txt(row, 3, d["endpointTest"])
tbl.new_td_txt(row, 4, d["wrd_resultA"])
tbl.new_td_txt(row, 5, d["wrd_resultB"])
tbl.new_td_txt(row, 6, d["wrd_experimental"])
tbl.new_td_txt(row, 7, d["wrd_comments"])
tbl.new_td_txt(row, 8, d["reference"]["name"])
row += 1
tbl.render(self.doc)
self.doc.add_paragraph(NONMAMMAL_VITRO_FOOTNOTE)
self.doc.add_page_break()
def buildHumanVivoTbl(self):
colWidths = [0.9, 1.2, 1.2, 1.3, 1.4, 0.8, 1.4, 0.8]
tbl = TableMaker(colWidths, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = f"Table 1 [Genotoxicity and related effects] of [{self.getAgent()}] in humans in vivo"
tbl.new_th(0, 0, txt, colspan=8)
# write header
tbl.new_th(1, 0, "End-point")
tbl.new_th(1, 1, "Test")
tbl.new_th(1, 2, "Tissue")
tbl.new_th(1, 3, "Cell type\n(if specified)")
tbl.new_th(1, 4, "Description of exposed and controls")
tbl.new_th(1, 5, "Response/ significance*")
tbl.new_th(1, 6, "Comments")
tbl.new_th(1, 7, "Reference")
row = 2
for d in self.context["humanInVivo"]:
tbl.new_td_txt(row, 0, d["endpoint"])
tbl.new_td_txt(row, 1, d["endpointTest"])
tbl.new_td_txt(row, 2, d["tissueHuman"])
tbl.new_td_txt(row, 3, d["cellType"])
tbl.new_td_txt(row, 4, d["exposureDescription"])
txt = f'{d["result"]} {d["wrd_significance"]}'
tbl.new_td_txt(row, 5, txt)
tbl.new_td_txt(row, 6, d["wrd_comments"])
tbl.new_td_txt(row, 7, d["reference"]["name"])
row += 1
tbl.render(self.doc)
self.doc.add_paragraph(HUMAN_VIVO_FOOTNOTE)
self.doc.add_page_break()
def build_bias_table(self, biasNames, descriptions):
tbl = TableMaker(
self.COLUMN_WIDTHS, numHeaders=0, firstRowCaption=False, tblStyle="ntpTbl"
)
# write header
tbl.new_th(0, 0, "Reference")
for i, bias in enumerate(biasNames):
tbl.new_th(0, i + 1, f"{self.convertCamelCase(bias)} rating")
docx_tbl = tbl.render(self.doc)
for desc in descriptions:
inner_tbl = self.build_bias(biasNames, desc)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def build_bias_table(self, biasNames, descriptions):
tbl = TableMaker(self.COLUMN_WIDTHS,
numHeaders=0,
firstRowCaption=False,
tblStyle="ntpTbl")
# write header
tbl.new_th(0, 0, "Reference")
for i, bias in enumerate(biasNames):
tbl.new_th(0, i + 1, f"{self.convertCamelCase(bias)} rating")
docx_tbl = tbl.render(self.doc)
for desc in descriptions:
inner_tbl = self.build_bias(biasNames, desc)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def build_desc_tbl(self, caption, descriptions, site):
tbl = TableMaker(self.COLUMN_WIDTHS, numHeaders=2, tblStyle="ntpTbl")
# write title
tbl.new_th(0, 0, caption, colspan=6)
# write header
tbl.new_th(1, 0, "Reference, study-design, location, and year")
tbl.new_th(1, 1, "Population description & exposure assessment method")
tbl.new_th(1, 2, "Exposure category or level")
tbl.new_th(1, 3, "Risk estimate\n(95% CI); exposed cases")
tbl.new_th(1, 4, "Co-variates controlled")
tbl.new_th(1, 5, "Comments, strengths, and weaknesses")
docx_tbl = tbl.render(self.doc)
# write additional rows
for desc in descriptions:
inner_tbl = self._build_description(desc, site)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def build_tbl(self, studies):
tbl = TableMaker(
self.COLUMN_WIDTHS, numHeaders=1, firstRowCaption=False, tblStyle="ntpTbl"
)
# write header
tbl.new_th(0, 0, "Reference and study design")
tbl.new_th(0, 1, "Exposure")
tbl.new_th(0, 2, "Dose levels")
tbl.new_th(0, 3, "Tumor incidence (n/N) (%)")
tbl.new_th(0, 4, "Comments")
docx_tbl = tbl.render(self.doc)
# write body
for study in studies:
inner_tbl = self._build_study(study)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
self.doc.add_paragraph("\n".join(list(self.footnotes.values())))
def build_desc_tbl(self, caption, descriptions, site):
tbl = TableMaker(self.COLUMN_WIDTHS, numHeaders=2, tblStyle="ntpTbl")
# write title
tbl.new_th(0, 0, caption, colspan=6)
# write header
tbl.new_th(1, 0, "Reference, study-design, location, and year")
tbl.new_th(1, 1, "Population description & exposure assessment method")
tbl.new_th(1, 2, "Exposure category or level")
tbl.new_th(1, 3, "Risk estimate\n(95% CI); exposed cases")
tbl.new_th(1, 4, "Co-variates controlled")
tbl.new_th(1, 5, "Comments, strengths, and weaknesses")
docx_tbl = tbl.render(self.doc)
# write additional rows
for desc in descriptions:
inner_tbl = self._build_description(desc, site)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def build_ROB_table(self, study):
widths = [2.8, 0.7, 4.0]
tbl = TableMaker(widths, numHeaders=2, firstRowCaption=True, tblStyle="ntpTbl")
# add caption
tbl.new_td_run(0, 0, self.getTableCaptionRuns(study), colspan=3)
# add headers
cells = ['Risk of Bias', 'Rating', 'Rating rationale']
for i, cell in enumerate(cells):
tbl.new_th(1, i, cell)
# add body
row = 2
for d in study["qualities"]:
tbl.new_td_txt(row, 0, d["metric"]["metric"])
tbl.new_td_txt(row, 1, d["score_symbol"], shade=d["score_shade"])
tbl.new_td_txt(row, 2, strip_tags(d["notes"]))
row += 1
return tbl.render(self.doc)
def build_ROB_legend(self):
widths = [1.5, 1.0, 0.4, 1.0, 0.4, 1.0, 0.4, 0.4, 1.0, 0.4]
tbl = TableMaker(widths, numHeaders=0, firstRowCaption=False, tblStyle="ntpTbl")
cells = [
{"runs": [TableMaker.new_run("Risk of bias key:", b=True, newline=False)]},
{"text": "Definitely Low"},
{"text": "++", "shade": models.StudyQuality.SCORE_SHADES[4]},
{"text": "Probably Low"},
{"text": "+", "shade": models.StudyQuality.SCORE_SHADES[3]},
{"text": "Probably High"},
{"text": "-", "shade": models.StudyQuality.SCORE_SHADES[2]},
{"text": "NR", "shade": models.StudyQuality.SCORE_SHADES[0]},
{"text": "Definitely High"},
{"text": "--", "shade": models.StudyQuality.SCORE_SHADES[1]},
]
for i, cell in enumerate(cells):
if "runs" in cell:
tbl.new_td_run(0, i, cell["runs"], shade=cell.get("shade"))
else:
tbl.new_td_txt(0, i, cell["text"], shade=cell.get("shade"))
return tbl.render(self.doc)
def build_tbl(self, studies):
tbl = TableMaker(self.COLUMN_WIDTHS,
numHeaders=1,
firstRowCaption=False,
tblStyle="ntpTbl")
# write header
tbl.new_th(0, 0, "Reference and study design")
tbl.new_th(0, 1, "Exposure")
tbl.new_th(0, 2, "Dose levels")
tbl.new_th(0, 3, "Tumor incidence (n/N) (%)")
tbl.new_th(0, 4, "Comments")
docx_tbl = tbl.render(self.doc)
# write body
for study in studies:
inner_tbl = self._build_study(study)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
self.doc.add_paragraph("\n".join(list(self.footnotes.values())))
def build_ROB_legend(self):
widths = [1.5, 1.0, 0.4, 1.0, 0.4, 1.0, 0.4, 0.4, 1.0, 0.4]
tbl = TableMaker(widths, numHeaders=0, firstRowCaption=False, tblStyle='ntpTbl')
cells = [
{'runs': [TableMaker.new_run('Risk of bias key:', b=True, newline=False)]},
{'text': 'Definitely Low'},
{'text': '++', 'shade': RiskOfBiasScore.SCORE_SHADES[4]},
{'text': 'Probably Low'},
{'text': '+', 'shade': RiskOfBiasScore.SCORE_SHADES[3]},
{'text': 'Probably High'},
{'text': '-', 'shade': RiskOfBiasScore.SCORE_SHADES[2]},
{'text': 'NR', 'shade': RiskOfBiasScore.SCORE_SHADES[0]},
{'text': 'Definitely High'},
{'text': '--', 'shade': RiskOfBiasScore.SCORE_SHADES[1]},
]
for i, cell in enumerate(cells):
if 'runs' in cell:
tbl.new_td_run(0, i, cell['runs'], shade=cell.get('shade'))
else:
tbl.new_td_txt(0, i, cell['text'], shade=cell.get('shade'))
return tbl.render(self.doc)
def build_table(self):
tbl = TableMaker(self.COLUMN_WIDTHS, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = "Occupational exposure data"
tbl.new_th(0, 0, txt, colspan=7)
# write header
tbl.new_th(1, 0, "Reference")
tbl.new_th(1, 1, "Location,\ncollection date")
tbl.new_th(1, 2, "Occupation description")
tbl.new_th(1, 3, "Sampling matrix, approach,\nN, duration")
tbl.new_th(1, 4, "Agent,\nexposure level")
tbl.new_th(1, 5, "Exposure range")
tbl.new_th(1, 6, "Comments/additional data")
docx_tbl = tbl.render(self.doc)
# write rows
for d in self.context["exposures"]:
inner_tbl = self.build_row(d)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def build_table(self):
tbl = TableMaker(self.COLUMN_WIDTHS, numHeaders=2, tblStyle="ntpTbl")
# write title
txt = "Occupational exposure data"
tbl.new_th(0, 0, txt, colspan=7)
# write header
tbl.new_th(1, 0, "Reference")
tbl.new_th(1, 1, "Location,\ncollection date")
tbl.new_th(1, 2, "Occupation description")
tbl.new_th(1, 3, "Sampling matrix, approach,\nN, duration")
tbl.new_th(1, 4, "Agent,\nexposure level")
tbl.new_th(1, 5, "Exposure range")
tbl.new_th(1, 6, "Comments/additional data")
docx_tbl = tbl.render(self.doc)
# write rows
for d in self.context["exposures"]:
inner_tbl = self.build_row(d)
docx_tbl_inner = inner_tbl.render(self.doc)
docx_tbl._cells.extend(docx_tbl_inner._cells)
def build_summary_table(self, ag):
widths = [2.5, 2.7, 1.5, 0.5, 1.2, 1.6]
tbl = TableMaker(widths, numHeaders=3, firstRowCaption=True, tblStyle="ntpTbl")
doses = self.getDoses(ag)
firstDose = doses.keys()[0]
# add caption
tbl.new_td_txt(0, 0, ag['name'], colspan=6)
# add headers
tbl.new_th(1, 0, r'Reference, Animal Model, and Dosing', rowspan=2)
tbl.new_th(1, 1, r'Health outcome', rowspan=2)
tbl.new_th(1, 2, r'Results', colspan=4)
tbl.new_th(2, 2, u'Dose ({0})'.format(firstDose))
tbl.new_th(2, 3, r'N')
tbl.new_th(2, 4, u'Mean \u00B1 SD',)
tbl.new_th(2, 5, r'% control (95% CI)')
# build endpoint rows
rows = 3
for ep in ag["eps"]:
if ep["data_extracted"] == False:
continue
# add endpoint-name as first-row
tbl.new_td_run(
rows, 2,
[TableMaker.new_run(ep["name"], i=True, newline=False)],
colspan=4
)
rows += 1
# build column-header table
data_type = ep["data_type"]
for i, eg in enumerate(ep["groups"]):
ci = []
resp = u"-"
if data_type == "C":
resp = unicode(eg.get("response", "-"))
if eg.get('stdev') is not None:
resp += u' \u00B1 {0:.2f}'.format(eg["stdev"])
elif data_type in ["D", "DC"]:
if eg.get("incidence") is not None:
resp = u'{0}/{1}'.format(eg["incidence"], eg["n"])
ci.append(u"NR")
else: # ["P"]
resp = u'NR'
if i != 0 and eg.get("percentControlMean") is not None:
ci.append("{0:.1f}".format(eg["percentControlMean"]))
if eg.get("percentControlLow") is not None and eg.get("percentControlHigh") is not None:
ci.append(u'({0:.1f}, {1:.1f})'.format(eg["percentControlLow"], eg["percentControlHigh"]))
ci = u" ".join(ci)
tbl.new_td_txt(rows, 2, unicode(doses[firstDose][i]))
tbl.new_td_txt(rows, 3, unicode(eg.get("n", "-")))
tbl.new_td_txt(rows, 4, resp)
tbl.new_td_txt(rows, 5, ci)
rows += 1
else:
# add blank cells if none-exist
tbl.new_td_txt(3, 2, "")
tbl.new_td_txt(3, 3, "")
tbl.new_td_txt(3, 4, "")
tbl.new_td_txt(3, 5, "")
# adjust rowspans for summary rows
rowspan = rows - 3
tbl.new_td_run(3, 0, self.getStudyDetailsRuns(ag, doses), rowspan=rowspan)
tbl.new_td_run(3, 1, self.getHealthOutcomes(ag), rowspan=rowspan)
tbl.render(self.doc)
self.doc.add_paragraph("\n")
def build_tbl(self, study):
colWidths = (2, 4.5)
tbl = TableMaker(
colWidths, numHeaders=1, firstRowCaption=False, tblStyle="ntpTbl"
)
# Table caption
txt = (
f'Table X: {study["reference"]["name"]} ({study["sex"]} '
f'{study["species"]}): {study["agent"]}: {study["dosingRoute"]}'
)
self.doc.add_heading(txt, level=2)
# write header
tbl.new_th(0, 0, "Study utility domain and question")
tbl.new_th(0, 1, "Rating and rationale")
# study design section
self.add_rr_header(tbl, 1, "Study design")
self.add_rr_row(
tbl,
2,
"Randomization",
study["randomizationRating"],
study["randomizationRationale"],
)
self.add_rr_row(
tbl,
3,
"Controls",
study["concurrentControlsRating"],
study["concurrentControlsRationale"],
)
tbl.new_td_txt(4, 0, "Historical data")
response = "Yes" if study["historicalDataAvailable"] is True else "No"
tbl.new_td_txt(4, 1, response)
self.add_rr_row(
tbl,
5,
"Animal model (sensitivity)",
study["animalModelSensitivityRating"],
study["animalModelSensitivityRationale"],
)
self.add_rr_row(
tbl,
6,
"Statistical power (sensitivity)",
study["statisticalPowerRating"],
study["statisticalPowerRationale"],
)
# exposure section
self.add_rr_header(tbl, 7, "Exposure")
self.add_rr_row(
tbl,
8,
"Chemical characterization",
study["chemicalCharacterizationRating"],
study["chemicalCharacterizationRationale"],
)
self.add_rr_row(
tbl,
9,
"Dosing regimen",
study["dosingRegimenRating"],
study["dosingRegimenRationale"],
)
self.add_rr_row(
tbl,
10,
"Exposure duration (sensitivity)",
study["exposureDurationRating"],
study["exposureDurationRationale"],
)
self.add_rr_row(
tbl,
11,
"Dose-response (sensitivity)",
study["doseResponseRating"],
study["doseResponseRationale"],
)
# outcome section
self.add_rr_header(tbl, 12, "Outcome")
self.add_rr_row(
tbl,
13,
"Pathology",
study["outcomeMethodsRating"],
study["outcomeMethodsRationale"],
)
self.add_rr_row(
tbl,
14,
"Consistency between groups",
study["groupConsistencyRating"],
study["groupConsistencyRationale"],
)
self.add_rr_row(
tbl,
15,
"Study duration (sensitivity)",
study["durationRating"],
study["durationRationale"],
)
# confounding section
self.add_rr_header(tbl, 16, "Confounding")
self.add_rr_row(
tbl,
17,
"Confounding",
study["confoundingRating"],
study["confoundingRationale"],
)
# reporting & analysis section
self.add_rr_header(tbl, 18, "Reporting and analysis")
self.add_rr_row(
tbl,
19,
"Reporting data and statistics",
study["statisticalReportingRating"],
study["statisticalReportingRationale"],
)
self.add_rr_row(
tbl,
20,
"Combining lesions",
study["tumorCombiningRating"],
study["tumorCombiningRationale"],
)
# render table
tbl.render(self.doc)
# overall utility
txt = f' {study["overallUtility"]}. {study["overallUtilityRationale"]}'
p = self.doc.add_paragraph("")
p.add_run("Overall utility: ").bold = True
p.add_run(txt)
self.doc.add_page_break()