Evidence map›Paper›PMID 35801003›Full record

ArticleDisease markers2022

The Association of Long-Term Use of Proton Pump Inhibitors and Histamine H

Jiamin Gao, Senlin Ma, Siyuan Xu, Mingquan Chen

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. 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
0.9field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Jiamin GaoDepartment of Emergency, Huashan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-4501-7434
Senlin MaDepartment of Emergency, Huashan Hospital, Fudan University, Shanghai, China.
Siyuan XuDepartment of Emergency, Huashan Hospital, Fudan University, Shanghai, China.
Mingquan ChenDepartment of Emergency, Huashan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-0911-9836
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Proton pump inhibitors (PPIs) are commonly used to treat gastric acidity, and their frequent use may trigger various malfunctioning, such as cardiac, renal, and liver function failure. In the current study, we evaluated the association between the excessive use of the PPIs and the clinical complications of intensive care unit (ICU) septic patients. Methods: A total of 208188 patients were analyzed from 2016 to 2017 through the China Critical Care Sepsis Trial (CCCST) database. The characteristics of the study group and outcome of events from the PPI- and H Result: The data revealed 43.34 excess deaths (95% confidence intensive (CI) 25.12 to 62.02) per 1000 patients in patients extensively consuming PPI drugs. The sepsis with chronic kidney disease attributed to deaths 21.36; 95% CI (9.34 to 23.23). However, comorbidities, including circulatory diseases (16.34; 95% CI 5.78 to 23.45), nervous system (2.08; 95% CI 1.56 to 6.34), mental disorders (1.87; 95% CI 1.65 to 2.95), genitourinary system (5.23; 95% CI 3.69 to 8.89), and infectious and parasitic disease (4.17; 95% CI 1.44 to 7.49), were also reported. Extensive use of the PPIs and H Conclusion: We conclude that the excessive use of PPI in sepsis patients triggers chronic kidney disease which has a higher clinical complication rate among others.

Indexed as

Renal Insufficiency, ChronicSepsisHistamineHistamine H2 AntagonistsHumansProton Pump InhibitorsHistamineHistamine H2 AntagonistsProton Pump Inhibitors

Identifiers

PMID35801003
PMCPMC9256334
OpenAlexW4283711580

What OpenQuestion holds

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LicenceCC BY
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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.