Evidence map›Paper›PMID 38678022›Full record

ArticleNature communications2024

Individualized prevention of proton pump inhibitor related adverse events by risk stratification.

Bin Xia, Qiangsheng He, Fang Gao Smith, V Georgios Gkoutos, Krishnarajah Nirantharakumar, Zi Chong Kuo, Danni Wang, Qi Feng, Eddie C Cheung, Lunzhi Dai and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
9.3field-weighted citation impact, top 1% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

15 authors at 8 institutions in 5 countries.

Bin Xia *Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Qiangsheng He *Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Fang Gao Smith *Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
V Georgios GkoutosUniversity Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.ORCID http://orcid.org/0000-0002-2061-091X
Krishnarajah NirantharakumarCollege of Medical and Dental Sciences, Centre for Health Data Science, University of Birmingham, Edgbaston, Birmingham, UK.ORCID http://orcid.org/0000-0002-6816-1279
Zi Chong KuoGuangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Danni WangDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Qi FengOxford Population Health, University of Oxford, Oxford, Oxfordshire, UK.
Eddie C CheungGuangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Lunzhi DaiNational Clinical Research Center for Geriatrics and Department of General Practice, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0002-3003-8910
Junjie HuangJ.C. School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China.ORCID http://orcid.org/0000-0003-2382-4443
Yuanyuan YuDepartment of Surgery, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China.
Wenbo MengDepartment of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China. mengwb@lzu.edu.cn.ORCID http://orcid.org/0000-0002-9355-0225
Xiwen QinSchool of Population and Global Health, Faculty of Medicine, Density and Health Sciences, University of Western Australia, Perth, AU-WA, Australia. simon.qin@uwa.edu.au.ORCID http://orcid.org/0000-0001-6573-1953
Jinqiu YuanDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China. yuanjq5@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-7947-2646
Sun Yat-sen University · CNChinese University of Hong Kong · HKUniversity Hospitals Birmingham NHS Foundation Trust · GBFirst Hospital of Lanzhou University · CNSichuan University · CNThe University of Western Australia · AUUniversity of Birmingham · GBUniversity of Oxford · GB

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82003408National Natural Science Foundation of China (National Science Foundation of China) 82003524
6 · The paper itself

Abstract

Proton pump inhibitors (PPIs) are commonly used for gastric acid-related disorders, but their safety profile and risk stratification for high-burden diseases need further investigation. Analyzing over 2 million participants from five prospective cohorts from the US, the UK, and China, we found that PPI use correlated with increased risk of 15 leading global diseases, such as ischemic heart disease, diabetes, respiratory infections, and chronic kidney disease. These associations showed dose-response relationships and consistency across different PPI types. PPI-related absolute risks increased with baseline risks, with approximately 82% of cases occurring in those at the upper 40% of the baseline predicted risk, and only 11.5% of cases occurring in individuals at the lower 50% of the baseline risk. While statistical association does not necessarily imply causation, its potential safety concerns suggest that personalized use of PPIs through risk stratification might guide appropriate decision-making for patients, clinicians, and the public.

Indexed as

Proton Pump InhibitorsAdultAgedChinaDiabetes MellitusDrug-Related Side Effects and Adverse ReactionsFemaleHumansMaleMiddle AgedMyocardial IschemiaPrecision MedicineProspective StudiesRenal Insufficiency, ChronicRespiratory Tract InfectionsRisk AssessmentProton Pump Inhibitors

Identifiers

PMID38678022
PMCPMC11055952
OpenAlexW4395688914

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.