Evidence map›Paper›PMID 40490740›Full record

SynthesisBMC pulmonary medicine2025

Procalcitonin and biomarkers for stroke-associated pneumonia: a systematic review and meta-analysis.

Yuan Wang, Tingting Wang, Shouqin Hu, Yuntao Cheng, Chongyue Du, Guolong Xu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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

6 authors.

Yuan WangDepartment of Emergency, Jiashan County Traditional Chinese Medicine Hospital, No. 38 Gujiadai, Weitang Street, Jiashan County, Jiaxing, Zhejiang Province, 314100, China. wygwx2259@163.com.
Tingting WangDepartment of Emergency, Jiashan County Traditional Chinese Medicine Hospital, No. 38 Gujiadai, Weitang Street, Jiashan County, Jiaxing, Zhejiang Province, 314100, China.
Shouqin HuDepartment of Emergency, Jiashan County Traditional Chinese Medicine Hospital, No. 38 Gujiadai, Weitang Street, Jiashan County, Jiaxing, Zhejiang Province, 314100, China.
Yuntao ChengDepartment of Emergency, Jiashan County Traditional Chinese Medicine Hospital, No. 38 Gujiadai, Weitang Street, Jiashan County, Jiaxing, Zhejiang Province, 314100, China.
Chongyue DuDepartment of Emergency, Jiashan County Traditional Chinese Medicine Hospital, No. 38 Gujiadai, Weitang Street, Jiashan County, Jiaxing, Zhejiang Province, 314100, China.
Guolong XuDepartment of Emergency, Jiashan County Traditional Chinese Medicine Hospital, No. 38 Gujiadai, Weitang Street, Jiashan County, Jiaxing, Zhejiang Province, 314100, China. 674004283@qq.com.

Funding

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 82300937
6 · The paper itself

Abstract

backgroundStroke-associated pneumonia (SAP) is a common and severe complication following stroke, significantly impacting recovery and outcomes. Early identification of biomarkers and development of predictive models are essential for SAP diagnosis and prevention. This study systematically evaluated the diagnostic value of procalcitonin (PCT) and other biomarkers for SAP and explored their integration into predictive models.

methodsA systematic review and meta-analysis were conducted by searching PubMed, Web of Science, and CNKI databases for studies published up to March 2023. Inclusion criteria focused on studies reporting biomarkers for SAP diagnosis and predictive models. Statistical analyses included pooled sensitivity, specificity, diagnostic odds ratio (DOR), and area under the receiver operating characteristic curve (AUC) using RevMan 5.4 and R software.

resultsThis meta-analysis included 11 studies with 1,478 patients and found that PCT levels were significantly elevated in SAP patients, particularly those with ischemic stroke (standardized mean difference [SMD] = 2.89, 95% confidence interval [CI] = 1.74-4.04). PCT demonstrated high diagnostic accuracy, with a pooled sensitivity of 0.84, specificity of 0.89, DOR of 48.78, and AUC of 0.91, outperforming other biomarkers like CRP and IL-6. Predictive models incorporating biomarkers improved risk stratification, though heterogeneity among studies underscores the need for standardization.

conclusionsPCT is a reliable biomarker for SAP diagnosis, offering high sensitivity and specificity. Combining PCT with predictive models can enhance risk assessment and early detection of SAP. Further research is necessary to refine prediction models and validate the clinical application of biomarkers across diverse populations. This study underscores the importance of biomarkers in guiding SAP prevention and management strategies.

Indexed as

PneumoniaProcalcitoninStrokeBiomarkersHumansROC CurveSensitivity and SpecificityBiomarkersProcalcitoninBiomarkersClinical prediction modelPneumoniaProcalcitoninStroke

Identifiers

PMID40490740
PMCPMC12147346

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.