Evidence map›Paper›PMID 36519133›Full record

SynthesisFrontiers in cellular and infection microbiology2022

Calprotectin as a diagnostic marker for sepsis: A meta-analysis.

Rong-Yue Gao, Hui-Miao Jia, Yu-Zhen Han, Ben-Shu Qian, Pan You, Xiao-Ke Zhang, Wen-Xiong Li, Li-Feng Huang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
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  5. Article
  6. Observational
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  8. Article
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  10. Review
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  14. Observational
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  16. Review
  17. CISepsis: a causal inference framework for early sepsis detection.Frontiers in cellular and infection microbiology · 2024
    Article
  18. Review
  19. Article
  20. Article
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

8 authors at 2 institutions in 1 country.

Rong-Yue GaoDepartment of Surgical Intensive Care Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Hui-Miao JiaDepartment of Surgical Intensive Care Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Yu-Zhen HanDepartment of Surgical Intensive Care Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Ben-Shu QianDepartment of Surgical Intensive Care Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Pan YouDepartment of Surgical Intensive Care Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Xiao-Ke ZhangDepartment of Surgical Intensive Care Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Wen-Xiong LiDepartment of Surgical Intensive Care Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Li-Feng HuangDepartment of Surgical Intensive Care Unit, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNBeijing Chao-Yang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sepsis is a life-threatening condition, and biomarkers are needed to diagnose sepsis fast and accurately. We aimed to perform this meta-analysis to investigate the diagnostic value of calprotectin on sepsis in critically ill patients. Methods: The investigators searched MEDLINE, Embase, Web of Science and Cochrane Library. Studies were included if they assessed the diagnostic accuracy of serum calprotectin for sepsis in intensive care unit (ICU). We estimated its diagnostic value and explored the source of heterogeneity. The bivariate model and the hierarchical summary receiver operating characteristic (HSROC) curve were used in the meta-analysis. Results: Six records assessing 821 patients were included in this meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio (PLR), and diagnostic odds ratio (DOR) were separately as 0.77, 0.85, 5.20, 0.27, respectively. The Fagan's nomogram showed post-test probabilities of 91% and 35% for positive and negative outcomes, respectively. Subgroup analysis indicated that sepsis definition could be a possible source of heterogeneity, but there's no sufficient data to investigate sepsis-3 definition. Sensitivity analysis suggested that two studies could affect the stability of pooled results. Conclusion: On the basis of our meta-analysis, calprotectin is a helpful marker for early diagnosis of sepsis on ICU admission.

Indexed as

Leukocyte L1 Antigen ComplexSepsisBiomarkersCritical IllnessHumansROC CurveSensitivity and SpecificityBiomarkersLeukocyte L1 Antigen Complexbiomarkercalprotectindiagnosismeta-analysissepsis

Identifiers

PMID36519133
PMCPMC9742445
OpenAlexW4310261395

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.