Evidence map›Paper›PMID 36220361›Full record

SynthesisMetabolism: clinical and experimental2022

Risk of incident diabetes after COVID-19 infection: A systematic review and meta-analysis.

Honghao Lai, Manli Yang, Mingyao Sun, Bei Pan, Quan Wang, Jing Wang, Jinhui Tian, Guowu Ding, Kehu Yang, Xuping Song and 1 more

Open access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Metabolism: clinical and experimental, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
5.2field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 54 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

11 authors at 4 institutions in 1 country.

Honghao LaiEvidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China.
Manli YangNanjing University of Chinese Medicine, Nanjing, China.
Mingyao SunEvidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, China.
Bei PanEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Quan WangAmbulatory Surgery Center, Xijing Hospital, Air Force Military Medical University, Xi'an, China.
Jing WangDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, China.
Jinhui TianEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China.
Guowu DingEvidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China.
Kehu YangEvidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China.
Xuping SongEvidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China. Electronic address: songxp@lzu.edu.cn.
Long GeEvidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China. Electronic address: gelong2009@163.com.
Lanzhou University · CNGansu Provincial Hospital · CNNanjing University of Chinese Medicine · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 might be a risk factor for various chronic diseases. However, the association between COVID-19 and the risk of incident diabetes remains unclear. We aimed to meta-analyze evidence on the relative risk of incident diabetes in patients with COVID-19.

methodsIn this systematic review and meta-analysis, the Embase, PubMed, CENTRAL, and Web of Science databases were searched from December 2019 to June 8, 2022. We included cohort studies that provided data on the number, proportion, or relative risk of diabetes after confirming the COVID-19 diagnosis. Two reviewers independently screened studies for eligibility, extracted data, and assessed risk of bias. We used a random-effects meta-analysis to pool the relative risk with corresponding 95 % confidence intervals. Prespecified subgroup and meta-regression analyses were conducted to explore the potential influencing factors. We converted the relative risk to the absolute risk difference to present the evidence. This study was registered in advance (PROSPERO CRD42022337841). MAIN

findingsTen articles involving 11 retrospective cohorts with a total of 47.1 million participants proved eligible. We found a 64 % greater risk (RR = 1.64, 95%CI: 1.51 to 1.79) of diabetes in patients with COVID-19 compared with non-COVID-19 controls, which could increase the number of diabetes events by 701 (558 more to 865 more) per 10,000 persons. We detected significant subgroup effects for type of diabetes and sex. Type 2 diabetes has a higher relative risk than type 1. Moreover, men may be at a higher risk of overall diabetes than women. Sensitivity analysis confirmed the robustness of the results. No evidence was found for publication bias.

conclusionsCOVID-19 is strongly associated with the risk of incident diabetes, including both type 1 and type 2 diabetes. We should be aware of the risk of developing diabetes after COVID-19 and prepare for the associated health problems, given the large and growing number of people infected with COVID-19. However, the body of evidence still needs to be strengthened.

Indexed as

COVID-19Diabetes Mellitus, Type 2COVID-19 TestingFemaleHumansMaleRetrospective StudiesRisk FactorsCOVID-19DiabetesLong COVIDPublic health

Identifiers

PMID36220361
PMCPMC9546784
OpenAlexW4303634021

What OpenQuestion holds

Textmetadata
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.