Evidence map›Paper›PMID 33453399›Full record

Trial reportClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2022

The Mortality Risk of Proton Pump Inhibitors in 1.9 Million US Seniors: An Extended Cox Survival Analysis.

Seo H Baik, Kin-Wah Fung, Clement J McDonald

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

3 authors at 1 institution in 1 country.

Seo H BaikLister Hill National Center for Biomedical Communications, National Library of Medicine, US National Institutes of Health, Bethesda, Maryland.
Kin-Wah FungLister Hill National Center for Biomedical Communications, National Library of Medicine, US National Institutes of Health, Bethesda, Maryland.
Clement J McDonaldLister Hill National Center for Biomedical Communications, National Library of Medicine, US National Institutes of Health, Bethesda, Maryland. Electronic address: clemmcdonald@mail.nih.gov.
National Institutes of Health · US

Funding

Clinical and Informatics Research on Large Clinical DatabasesZIALM010008 · NLM · NATIONAL LIBRARY OF MEDICINE · PI MCDONALD, CLEMENT · 2016 to 2025
$9.3M
Using large Clinical Data bases to assess the association between patient factors, medication usage and patient outcomesZIALM008927 · NLM · NATIONAL LIBRARY OF MEDICINE · PI MCDONALD, CLEMENT · 2009 to 2015
$1.5M
Intramural NIH HHS ZIA LM008927
6 · The paper itself

Abstract

BACKGROUND &

aimsObservational studies have linked proton pump inhibitors (PPIs) with increased risk of mortality and other safety outcomes, in contradiction with a recent PPI randomized controlled trial (RCT). Observational studies may be prone to reverse causality, where deaths are attributed to the treatment rather than the conditions that are treated (protopathic bias).

methodsWe analyzed an incident drug user cohort of 1,930,728 elderly Medicare fee-for-service beneficiaries to evaluate the PPI-associated risk of death with a Cox regression analysis with time-varying covariates and propensity score adjustments. To correct for protopathic bias which occurs when a given drug is associated with prodromal signs of death, we implemented a lag-time approach by which any study drug taken during a 90-day look-back window before each death was disregarded.

resultsAmong 1,930,728 study individuals, 80,972 (4.2%) died during a median 3.8 years of follow-up, yielding an overall unadjusted death rate/1000 person-years of 9.85; 14.31 for PPI users and 7.93 for non- users. With no lag-time, PPI use (vs no use) was associated with 10% increased mortality risk (adjusted HR=1.10; 95% CI 1.08-1.12). However, with a lag-time of 90 days, mortality risk associated with PPI use was near zero (adjusted HR=1.01; 95% CI 0.99-1.02).

conclusionGiven the usage patterns of PPIs in patients with conditions that may presage death, protopathic bias may explain the association of PPIs with increased risk of death reported in observational studies.

Indexed as

Proton Pump InhibitorsAgedCohort StudiesHumansPropensity ScoreSurvival AnalysisProton Pump InhibitorsAll-Cause MortalityExtended Cox RegressionProton Pump InhibitorsProtopathic BiasTime-Varying Propensity Scores

Identifiers

PMID33453399
PMCPMC12381940
OpenAlexW3118825252

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.