Evidence map›Paper›PMID 28201528›Full record

ReviewNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2017

Pharmacoepidemiology for nephrologists: do proton pump inhibitors cause chronic kidney disease?

Laurie A Tomlinson, Damian G Fogarty, Ian Douglas, Dorothea Nitsch

Open access · hybridAbstract readReview
In one paragraph

Review in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. The human proton pump inhibitors inhibitProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Review
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

4 authors at 3 institutions in 1 country.

Laurie A TomlinsonFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Damian G FogartyDepartment of Nephrology, Belfast Health and Social Care Trust, Belfast, Northern Ireland, UK.
Ian DouglasFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Dorothea NitschFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
University of London · GBBelfast Health and Social Care Trust · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Pharmacoepidemiology studies are increasingly used for research into safe prescribing in chronic kidney disease (CKD). Typically, patients prescribed a drug are compared with patients who are not on the drug and outcomes are compared to draw conclusions about the drug effects. This review article aims to provide the reader with a framework to critically appraise such research. A key concern in pharmacoepidemiology studies is confounding, in that patients who have worse health status are prescribed more drugs or different agents and their worse outcomes are attributed to the drugs not the health status. It may be challenging to adjust for this using statistical methods unless a comparison group with a similar health status but who are prescribed a different (comparison) drug(s) is identified. Another challenge in pharmacoepidemiology is outcome misclassification, as people who are more ill engage more often with the health service, leading to earlier diagnosis in people who are frequent attenders. Finally, using replication cohorts with the same methodology in the same type of health system does not ensure that findings are more robust. We use two recent papers that investigated the association of proton pump inhibitor drugs with CKD as a device to review the main pitfalls of pharmacoepidemiology studies and how to attempt to mitigate against potential biases that can occur.

Indexed as

CausalityConfounding Factors, EpidemiologicHumansNephrologyPharmacoepidemiologyProportional Hazards ModelsProton Pump InhibitorsRenal Insufficiency, ChronicResearch DesignProton Pump Inhibitorsbiaschronic kidney diseaseobservational studiespharmacoepidemiologyproton pump inhibitors

Identifiers

PMID28201528
PMCPMC5837711
OpenAlexW2588243222

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.