Evidence map›Paper›PMID 41414682›Full record

ArticleRenal failure2025

Proton pump inhibitor use and cardiovascular risk, all-cause, and cardiovascular mortality across baseline eGFR categories: a longitudinal study.

Tian Zhang, Ting Li, Pengfei Jin

Abstract read
In one paragraph

Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Tian ZhangDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), Beijing, P.R. China.
Ting LiDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), Beijing, P.R. China.
Pengfei JinDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), Beijing, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This longitudinal cohort study aimed to evaluate the associations of proton pump inhibitor (PPI) use and estimated glomerular filtration rate (eGFR) with cardiovascular disease (CVD) risk, all-cause mortality, and cardiovascular mortality. We analysed data from 30,362 National Health and Nutrition Examination Survey participants (mean age: 49.3 ± 17.6 years; 51.1% women) between 2003 and 2018. Participants were categorised into eight subgroups based on PPI use and eGFR categories. CVD risk was assessed using survey-weighted multivariable logistic regression, while mortality was evaluated with Cox proportional hazards models over a median follow-up of 91 months. Analyses were adjusted for numerous potential confounders, with sensitivity analyses validating the results. Compared to nonusers with normal eGFR, PPI users with eGFR < 30 had the highest odds ratio (OR = 9.29, 95% CI: 3.34-25.81,

Indexed as

Cardiovascular DiseasesGlomerular Filtration RateProton Pump InhibitorsRenal Insufficiency, ChronicAdultAgedCause of DeathFemaleHeart Disease Risk FactorsHumansLongitudinal StudiesMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRisk AssessmentProton Pump Inhibitorscardiovascular diseaseestimated glomerular filtration ratemortalityNHANESProton pump inhibitors

Identifiers

PMID41414682
PMCPMC12720677

What OpenQuestion holds

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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.