Evidence map›Paper›PMID 41530700›Full record

SynthesisBMC gastroenterology2026

The value of platelet-associated parameters as biomarkers in evaluating the disease activity of inflammatory bowel disease: a systematic review and meta-analysis.

Haojie Wang, Rongrong Shao, Sa Wu, Yichen Zhu, Zijun Zhang, Mengting Cui, Manman Xiang, Shanshan Li, Fangtian Fan, Xian Li and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Haojie Wang *School of Pharmacy, Bengbu Medical University, Bengbu, 233030, China.
Rongrong Shao *Department of Electrocardiology, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Sa Wu *School of Pharmacy, Bengbu Medical University, Bengbu, 233030, China.
Yichen ZhuSchool of Pharmacy, Bengbu Medical University, Bengbu, 233030, China.
Zijun ZhangSchool of Pharmacy, Bengbu Medical University, Bengbu, 233030, China.
Mengting CuiSchool of Pharmacy, Bengbu Medical University, Bengbu, 233030, China.
Manman XiangSchool of Pharmacy, Bengbu Medical University, Bengbu, 233030, China.
Shanshan LiSchool of Pharmacy, Bengbu Medical University, Bengbu, 233030, China.
Fangtian FanSchool of Pharmacy, Bengbu Medical University, Bengbu, 233030, China. jim@bbmc.edu.cn.
Xian LiSchool of Pharmacy, Bengbu Medical University, Bengbu, 233030, China. Lixian202101@163.com.
Yu TaoSchool of Pharmacy, Bengbu Medical University, Bengbu, 233030, China. yutao@bbmu.edu.cn.

Funding

Anhui Provincial Key Laboratory of Inflammation-related Disease Foundation and Transformation Research YZ2024D03Anhui Provincial Key Research and Development Project 202104g01020017Graduate Student Research Innovation Program Byycxz24031National Natural Science Foundation of China 81973658Natural Science Research Project of Anhui Educational Committee 2024AH051219University Natural Science Research Project of Anhui Province KJ2021A0788
6 · The paper itself

Abstract

backgroundDeveloping inflammatory bowel disease (IBD) affects platelet counts (PLT), which are involved in blood coagulation. However, the predictive or diagnostic utility of platelet characteristics in assessing IBD disease activity of inflammatory bowel disease. We conducted thisremains unknown. This meta-analysis was conducted to quantitatively evaluate changes in platelet parameters during the active phase of IBD using a large sample size.

methodsPubMed, Embase, Wiley Online Library, Web of Science, and Google Scholar databases were searched to identify studies. Platelet parameter data were collected, pooled, examined, and assessed from studies that met the inclusion criteria and were evaluated for risk of bias using the Newcastle Ottawa Scale. The enzyme-linked immunosorbent assay was used to determine the difference in PF4 levels between normal and DSS-induced UC mice.

resultsA total of 18 articles were included in this study, with 2,160 patients, including 1,107 patients with Crohn's disease (CD) and 1,053 with ulcerative colitis (UC). There were 410 active and 697 inactive patients with CD, while 443 active and 610 inactive patients with UC. Of the 18 studies, 1 was retrospective, 2 were cross-sectional, and 15 were prospective cohort studies. Data on platelet count (PLT), the primary outcome measure of this study, were given in 15 studies, whereas mean platelet volume (MPV), fibrinogen (FIB), and PF4 were secondary outcomes. The pooling of effect size for CD patients in active and inactive phases was as follows: (PLT, MD = 55.51, 95% confidence interval [CI] (35.87, 67.16), Z = 6.45, P < 0.0001), (MPV, MD = - 0.42, 95% CI (-0.84, 0.01), Z = - 1.92, P = 0.05), (PF4, MD = 12.27, 95% CI (3.78, 20.76), Z = 2.83, P = 0.0046), (FIB, MD = 104.09, 95% CI (38.43, 169.75), Z = 3.11, P = 0.002). The pooled effect sizes of patients with UC in active and inactive phases were as follows: (PLT, MD = 58.48, 95% CI (38.71, 78.26), Z = 5.80, P < 0.0001), (MPV, MD = - 0.70, 95% CI (-0.93, - 0.47), Z = - 5.99, P < 0.0001), (PF4, MD = 3.03, 95% CI (-4.03, 10.10), Z = 0.84, P = 0.40), (FIB, MD = 109.73, 95% CI (45.64, 173.81), Z = 3.36, P = 0.001). PF4 levels were markedly elevated in DSS-induced UC mice. The heterogeneity sources analysis revealed that "Study type" was a statistically significant source of heterogeneity. Egger's test identified publication bias (t = 0.74, P = 0.47), indicating no significant asymmetry in the funnel plot.

conclusionsPlatelet parameters varied at different stages of IBD disease activity. Active patients had significantly higher PLT, PF4, and FIB levels and significantly lower MPV levels than inactive patients. Continuous monitoring of platelet parameters is an effective strategy to learn about the activity of IBD disease and an efficient means of reducing negative outcomes.

Indexed as

Blood PlateletsColitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesAnimalsBiomarkersHumansMicePlatelet CountPlatelet Factor 4Severity of Illness IndexBiomarkersPlatelet Factor 4Crohn’s diseaseInflammatory bowel diseasePlatelet parametersUlcerative colitis

Identifiers

PMID41530700
PMCPMC12888343

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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.