Evidence map›Paper›PMID 38769523›Full record

SynthesisBMC medicine2024

ABO and Rhesus blood groups and multiple health outcomes: an umbrella review of systematic reviews with meta-analyses of observational studies.

Fang-Hua Liu, Jia-Kai Guo, Wei-Yi Xing, Xue-Li Bai, Yu-Jiao Chang, Zhao Lu, Miao Yang, Ying Yang, Wen-Jing Li, Xian-Xian Jia and 9 more

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Pulmonary Embolism and ABO Blood Type: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Fang-Hua Liu *Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Jia-Kai Guo *Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Wei-Yi Xing *Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xue-Li Bai *Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Yu-Jiao Chang *Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Zhao LuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Miao YangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Ying YangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Wen-Jing LiDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Xian-Xian JiaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Tao ZhangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Jing YangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Jun-Tong ChenSchool of Medicine, Zhejiang University, Hangzhou, China.
Song GaoDepartment of Obstetrics and Gynecology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA.
De-Yu ZhangDepartment of Obstetrics and Gynecology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China. zhangdy@sj-hospital.org.
Chuan LiuDepartment of Obstetrics and Gynecology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China. fkzlMDT@163.com.
Ting-Ting GongDepartment of Obstetrics and Gynecology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China. gongtt@sj-hospital.org.
Qi-Jun WuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China. wuqj@sj-hospital.org.ORCID 0000-0001-9421-5114

Funding

National Key Research and Development Program of China No. 2022YFC2704205Natural Science Foundation of China No. 82073647Natural Science Foundation of China No.82103914Natural Science Foundation of China No. 82373674
6 · The paper itself

Abstract

backgroundNumerous studies have been conducted to investigate the relationship between ABO and Rhesus (Rh) blood groups and various health outcomes. However, a comprehensive evaluation of the robustness of these associations is still lacking.

methodsWe searched PubMed, Web of Science, Embase, Scopus, Cochrane, and several regional databases from their inception until Feb 16, 2024, with the aim of identifying systematic reviews with meta-analyses of observational studies exploring associations between ABO and Rh blood groups and diverse health outcomes. For each association, we calculated the summary effect sizes, corresponding 95% confidence intervals, 95% prediction interval, heterogeneity, small-study effect, and evaluation of excess significance bias. The evidence was evaluated on a grading scale that ranged from convincing (Class I) to weak (Class IV). We assessed the certainty of evidence according to the Grading of Recommendations Assessment, Development, and Evaluation criteria (GRADE). We also evaluated the methodological quality of included studies using the A Measurement Tool to Assess Systematic Reviews (AMSTAR). AMSTAR contains 11 items, which were scored as high (8-11), moderate (4-7), and low (0-3) quality. We have gotten the registration for protocol on the PROSPERO database (CRD42023409547).

resultsThe current umbrella review included 51 systematic reviews with meta-analysis articles with 270 associations. We re-calculated each association and found only one convincing evidence (Class I) for an association between blood group B and type 2 diabetes mellitus risk compared with the non-B blood group. It had a summary odds ratio of 1.28 (95% confidence interval: 1.17, 1.40), was supported by 6870 cases with small heterogeneity (I

conclusionsOur findings suggest a potential relationship between ABO and Rh blood groups and adverse health outcomes. Particularly the association between blood group B and type 2 diabetes mellitus risk.

Indexed as

ABO Blood-Group SystemRh-Hr Blood-Group SystemHumansMeta-Analysis as TopicObservational Studies as TopicSystematic Reviews as TopicABO Blood-Group SystemRh-Hr Blood-Group SystemABO blood groupMeta-analysisObservational studyRhesus blood groupUmbrella review

Identifiers

PMID38769523
PMCPMC11106863

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.