Evidence map›Paper›PMID 27507038›Full record

ArticleScientific reports2016

Systematic assessment of pharmaceutical prescriptions in association with cancer risk: a method to conduct a population-wide medication-wide longitudinal study.

Chirag J Patel, Jianguang Ji, Jan Sundquist, John P A Ioannidis, Kristina Sundquist

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Uncovering hypothesis-generating associations between prescription drugs and digestive cancer risk: a case-control drug-wide association study (DWAS).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  20. Ethics and Epistemology in Big Data Research.Journal of bioethical inquiry · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA, 02115 USA.
Jianguang JiCenter for Primary Health Care Research, Department of Clinical Sciences, Lund University, Clinical Research Centre (CRC), building 28, floor 11, Jan Waldenströms gata 35, Skåne University Hospital, SE-205 02 Malmö, Sweden.
Jan SundquistCenter for Primary Health Care Research, Department of Clinical Sciences, Lund University, Clinical Research Centre (CRC), building 28, floor 11, Jan Waldenströms gata 35, Skåne University Hospital, SE-205 02 Malmö, Sweden.
John P A IoannidisStanford Prevention Research Center, Department of Medicine, and Department of Health Research and Policy, Stanford University School of Medicine, 1265 Welch Road, Stanford, CA, 94305, USA.
Kristina SundquistCenter for Primary Health Care Research, Department of Clinical Sciences, Lund University, Clinical Research Centre (CRC), building 28, floor 11, Jan Waldenströms gata 35, Skåne University Hospital, SE-205 02 Malmö, Sweden.
Lund University · SEHarvard University · USStanford University · US

Funding

CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
Genetic, Social, and Developmental Epidemiology of Drug Use DisordersR01DA030005 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENNETH SEEDMAN KENDLER, JAN O SUNDQUIST · 2010 to 2026
$7.6M
Data-driven identification of environmental factors in cardiovascular diseaseR00ES023504 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2016 to 2018
$728k
Increasing the power of GxE detection by using multi-locus genome-wide predictorsR21ES025052 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2015 to 2017
$434k
Data-driven identification of environmental factors in cardiovascular diseaseK99ES023504 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2014 to 2015
$245k
NHLBI NIH HHS T32 HL007034NIDA NIH HHS R01 DA030005NIEHS NIH HHS K99 ES023504NIEHS NIH HHS R00 ES023504NIEHS NIH HHS R21 ES025052
6 · The paper itself

Abstract

It is a public health priority to identify the adverse and non-adverse associations between pharmaceutical medications and cancer. We search for and evaluate associations between all prescribed medications and longitudinal cancer risk in participants of the Swedish Cancer Register (N = 9,014,975). We associated 552 different medications with incident cancer risk (any, breast, colon, and prostate) during 5.5 years of follow-up (7/1/2005-12/31/2010) in two types of statistical models, time-to-event and case-crossover. After multiple hypotheses correction and replication, 141 (26%) drugs were associated with any cancer in a time-to-event analysis constraining drug exposure to 1 year before first cancer diagnosis and adjusting for history of medication use. In a case-crossover analysis, 36 drugs (7%) were associated with decreased cancer risk. 12 drugs were found in common in both analyses with concordant direction of association. We found 14, 10, 7% of all drugs associated with colon, prostate, and breast cancers in time-to-event models. We only found 1, 2%, and 0% for these cancers, respectively, in case-crossover analyses. Pharmacoepidemiologic analyses of cancer risk are sensitive to modeling choices and false-positive findings are a threat. Medication-wide analyses using different analytical models may help suggest consistent signals of increased cancer risk.

Indexed as

AdultCross-Over StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedModels, StatisticalNeoplasmsPopulation GroupsPrescription DrugsResearch DesignRisk FactorsYoung AdultPrescription Drugs

Identifiers

PMID27507038
PMCPMC4979093
OpenAlexW2487757292

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.