Evidence map›Paper›PMID 30683156›Full record

SynthesisCritical care (London, England)2019

Host genetic variants in sepsis risk: a field synopsis and meta-analysis.

Hongxiang Lu, Dalin Wen, Xu Wang, Lebin Gan, Juan Du, Jianhui Sun, Ling Zeng, Jianxin Jiang, Anqiang Zhang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Pooled it
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  4. Review
  5. Observational
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  7. Article
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  9. Review
  10. Genetic associations in sepsis and ARDS.Frontiers in pharmacology · 2026
    Review
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  12. Article
  13. Article
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  15. Article
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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

9 authors.

Hongxiang LuState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China.
Dalin WenState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China.
Xu WangState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China.
Lebin GanState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China.
Juan DuState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China.
Jianhui SunState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China.
Ling ZengState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China.
Jianxin JiangState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China. hellojjx@126.com.
Anqiang ZhangState Key Laboratory of Trauma, Burns and Combined Injury, Research Institute of Surgery, Daping Hospital, Army Medical University, Changjiang Branch Road 10, Daping Street, Yuzhong District, Chongqing, 400042, China. zhanganqiang@126.com.ORCID http://orcid.org/0000-0002-0375-2078

Funding

Medical Research Funding of PLA 17QNP005Medical Research Funding of PLA AWS14C003Science and Technology Innovation Project for Academicians of Chongqing cstc2017jcyj-yszxX0007Young Scientists Fund 81601677
6 · The paper itself

Abstract

backgroundPublished data revealed that host genetic variants have a substantial influence on sepsis susceptibility. However, the results have been inconsistent. We aimed to systematically review the published studies and quantitatively evaluate the effects of these variants on the risk of sepsis.

methodsWe searched the PubMed, EMBASE, Medline, Web of Knowledge, and HuGE databases to identify studies that investigated the associations between genetic variants and sepsis risk. Then, we conducted meta-analyses of the associations for genetic variants with at least three study populations and applied the Venice criteria to assess the association result credibility.

resultsA literature search identified 349 eligible articles that investigated 405 variants of 172 distinct genes. We performed 204 primary and 185 subgroup meta-analyses for 76 variants of 44 genes. The results showed that 29 variants of 23 genes were significantly associated with the risk of sepsis, including 8 variants of pattern recognition receptors (PRRs), 14 variants of cytokines, one variant of an immune-related gene and 6 variants of other genes. Furthermore, the cumulative epidemiological evidence of a significant association between each variant and the risk of sepsis was classified as strong or moderate for 18 variants. For the 329 variants with fewer than three study populations, 63 variants of 48 genes have been reported to be significantly associated with the risk of sepsis in a systematic review.

conclusionWe identified several genetic variants that could influence the susceptibility to sepsis by systematic review and meta-analysis. This study provides a comprehensive overview of the genetic architecture of variants involved in sepsis susceptibility and novel insight that may affect personalized targeted treatment in the future clinical management of sepsis.

Indexed as

Genetic VariationGenetic Predisposition to DiseaseHumansPolymorphism, GeneticRisk FactorsSepsisMeta-analysisSepsisSystematic reviewVariant

Identifiers

PMID30683156
PMCPMC6347778

What OpenQuestion holds

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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.