Evidence map›Paper›PMID 42756092›Full record

ArticleFrontiers in immunology2026

From blood to bowel: correlating serological markers with mucosal healing and inflammation in patients with inflammatory bowel disease.

Yi Zhang, Zecheng Zhang, Huiling Sun, Bo Diao, Dandan Ma, Dan Wang, Jiankun Jia, Weidong Jin, Haohao Huang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yi Zhang *Department of General Surgery, General Hospital of Central Theater Command of Chinese People's Liberation Army (PLA) Graduate Joint Training Base, School of Medicine, University of Science and Technology, Wuhan, Hubei, China.
Zecheng Zhang *Department of General Surgery, General Hospital of Central Theater Command of Chinese People's Liberation Army (PLA) Graduate Joint Training Base, School of Medicine, University of Science and Technology, Wuhan, Hubei, China.
Huiling SunDepartment of General Surgery, General Hospital of Central Theater Command of Chinese People's Liberation Army (PLA) Graduate Joint Training Base, School of Medicine, University of Science and Technology, Wuhan, Hubei, China.
Bo DiaoGeneral Hospital of Central Theater Command and Hubei Key Laboratory of Central Nervous System Tumor and Intervention, Wuhan, Hubei, China.
Dandan MaDepartment of General Surgery, General Hospital of Central Theater Command of Chinese People's Liberation Army (PLA) Graduate Joint Training Base, School of Medicine, University of Science and Technology, Wuhan, Hubei, China.
Dan WangDepartment of General Surgery, General Hospital of Central Theater Command of Chinese People's Liberation Army (PLA) Graduate Joint Training Base, School of Medicine, University of Science and Technology, Wuhan, Hubei, China.
Jiankun JiaDepartment of General Surgery, General Hospital of Central Theater Command of Chinese People's Liberation Army (PLA) Graduate Joint Training Base, School of Medicine, University of Science and Technology, Wuhan, Hubei, China.
Weidong JinDepartment of General Surgery, General Hospital of Central Theater Command of Chinese People's Liberation Army (PLA) Graduate Joint Training Base, School of Medicine, University of Science and Technology, Wuhan, Hubei, China.
Haohao HuangHubei University of Medicine, Shiyan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory bowel disease (IBD) is a systemic disease characterized by chronic inflammation of the gastrointestinal tract. Serological testing has the advantages of wide sources and easy detection. Objective: To explore the correlation between the serological markers and endoscopic mucosal healing and histological healing. We also explored the predictive value of individual and combined detection on the disease activity of ulcerative colitis (UC) and Crohn's disease (CD) and provide reference for clinical non-invasive evaluation. Methods: We retrospectively analyzed 267 IBD patients treated at our hospital from May 2020 to June 2024. Patients were classified based on endoscopic, pathological, or imaging results into UC (141 patients) and CD (126 patients). UC patients were further divided into mucosal healing (32 cases, IMES ≤ 1), mild (41 cases, 3 ≤ IMES ≤ 5), moderate (49 cases, 6 ≤ IMES ≤ 10), and severe (19 cases, 11 ≤ IMES ≤ 12) phases by the Improved Mayo Endoscopic Score (IMES). CD patients were categorized by the Crohn's Disease Activity Index (CDAI). According to the Geboes score, patients were divided into a histological healing group (n=63) and a histological activity group (n=204). Pearson analysis examined correlations and ROC analysis assessed their predictive value. Results: In severe cases, ALB and PA were lower, and CRP, ESR, NLR, and PLR were higher than in moderate cases (P<0.05). The serum ALB and PA levels in the histological activity group were lower, but CRP, ESR, NLR, and PLR were higher than the histological healing group (all P<0.05). Pearson analysis revealed negative correlations between IMES/CDAI scores and ALB/PA levels, and positive correlations with CRP, ESR, NLR, and PLR levels (P<0.05). The combined detection of serological indicators for predicting UC inflammatory activity had an AUC of 0.930, with 88.89% sensitivity and 89.47% specificity, outperforming individual indicators (Z-values all P<0.05). For CD, the combined AUC was 0.906, with 86.75% sensitivity and 85.71% specificity, again surpassing single indicators (Z-values all P<0.05). Conclusion: Differences in serum ALB, PA, CRP, ESR, NLR, PLR were correlated with mucosal healing and inflammation in IBD patients. Combined detection offers clinical value in predicting disease activity.

Indexed as

BiomarkersColitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesIntestinal MucosaWound HealingAdultFemaleHumansInflammationMaleMiddle AgedRetrospective StudiesROC CurveSeverity of Illness IndexYoung AdultBiomarkersCrohn’s diseaseinflammationmucosal healingserologic indicatorsulcerative colitis

Identifiers

PMID42756092
PMCPMC13582190

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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.