Evidence map›Paper›PMID 26733059›Full record

ReviewCurrent diabetes reports2016

Does Metformin Reduce Cancer Risks? Methodologic Considerations.

Asieh Golozar, Shuiqing Liu, Joeseph A Lin, Kimberly Peairs, Hsin-Chieh Yeh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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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 2 institutions in 1 country.

Asieh GolozarDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Shuiqing LiuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Joeseph A LinDepartment of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Kimberly PeairsDepartment of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Hsin-Chieh YehDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. hyeh1@jhmi.edu.
Johns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · US

Funding

JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WONDISFORD, FREDRIC E. · 2013 to 2017
$9.7M
NIDDK NIH HHS P30DK079637
6 · The paper itself

Abstract

The substantial burden of cancer and diabetes and the association between the two conditions has been a motivation for researchers to look for targeted strategies that can simultaneously affect both diseases and reduce their overlapping burden. In the absence of randomized clinical trials, researchers have taken advantage of the availability and richness of administrative databases and electronic medical records to investigate the effects of drugs on cancer risk among diabetic individuals. The majority of these studies suggest that metformin could potentially reduce cancer risk. However, the validity of this purported reduction in cancer risk is limited by several methodological flaws either in the study design or in the analysis. Whether metformin use decreases cancer risk relies heavily on the availability of valid data sources with complete information on confounders, accurate assessment of drug use, appropriate study design, and robust analytical techniques. The majority of the observational studies assessing the association between metformin and cancer risk suffer from methodological shortcomings and efforts to address these issues have been incomplete. Future investigations on the association between metformin and cancer risk should clearly address the methodological issues due to confounding by indication, prevalent user bias, and time-related biases. Although the proposed strategies do not guarantee a bias-free estimate for the association between metformin and cancer, they will reduce synthesis of and reporting of erroneous results.

Indexed as

AnimalsBiasDiabetes ComplicationsDiabetes MellitusHumansMetforminNeoplasmsObservational Studies as TopicRisk FactorsMetforminBiasCancerConfoundingIncidenceMetforminObservational studiesTime-related bias

Identifiers

PMID26733059
OpenAlexW2226654653

What OpenQuestion holds

Texttitle and abstract
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.