Evidence map›Paper›PMID 40442599›Full record

SynthesisBMC gastroenterology2025

Association between the immune-inflammation index and the severity and clinical outcomes of patients with inflammatory bowel disease: a systematic review and meta-analysis.

Peiji Li, Yilin Wu, Wei Xiong, Jiahui Cao, Mengyun Chen, Zhaowei Yuan, Wenxin Guo, Bing Yang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  8. 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

8 authors.

Peiji LiShenzhen College of Clinical Medicine, Guangzhou University of Traditional Chinese Medicine, Shenzhen, Guangdong, 518000, China. 2021016018@stu.gzucm.edu.cn.
Yilin Wu *Shenzhen College of Clinical Medicine, Guangzhou University of Traditional Chinese Medicine, Shenzhen, Guangdong, 518000, China.
Wei Xiong *Shenzhen College of Clinical Medicine, Guangzhou University of Traditional Chinese Medicine, Shenzhen, Guangdong, 518000, China.
Jiahui Cao *Shenzhen College of Clinical Medicine, Guangzhou University of Traditional Chinese Medicine, Shenzhen, Guangdong, 518000, China.
Mengyun Chen *Shenzhen College of Clinical Medicine, Guangzhou University of Traditional Chinese Medicine, Shenzhen, Guangdong, 518000, China.
Zhaowei Yuan *First School of Clinical Medicine, Guangzhou University of Traditional Chinese Medicine, Shenzhen, Guangdong, 510000, China.
Wenxin GuoFirst School of Clinical Medicine, Guangzhou University of Traditional Chinese Medicine, Shenzhen, Guangdong, 510000, China.
Bing YangDepartment of Gastroenterology, Shenzhen Longgang Centre Hospital, Shenzhen, Guangdong, 518000, China. Yangbing6708@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExisting studies have explored the association between immune-inflammatory indices and inflammatory bowel disease (IBD), but there is a lack of comprehensive evidence. This meta-analysis and systematic review seeks to synthesize the data of available clinical research and offer the latest and comprehensive evidence-based conclusions regarding whether these immune-inflammatory indices can effectively predict the severity, activity, and prognosis of IBD.

methodsSeven databases were comprehensively retrieved from their establishment to March 23, 2025. The combined results were described through standardized mean differences (SMD) or odds ratios (OR) with 95% confidence intervals (CI). Review Manager 5.4 and STATA 15.0 were leveraged for data analysis.

resultsOur analysis included 35 studies involving 5,870 patients. The aggregated data revealed that the neutrophil-to-lymphocyte ratio (NLR) (OR = 1.18, 95% CI:1.04 to 1.34; P = 0.001) (SMD = 1.01, 95%CI = 0.73 to 1.29, P < 0.001), platelet-to-lymphocyte ratio (PLR) (SMD = 0.60, 95%CI = 0.46 to 0.74, P < 0.001), neutrophil-to-platelet ratio (NPR) (OR = 1.20, 95% CI:1.08 to 1.32, P < 0.001), and C-reactive protein to albumin ratio (CRP/ALB) (OR = 1.50, 95% CI:1.38 to 1.65, P < 0.001) were potentially linked to disease activity in IBD patients. PLR (SMD = 1.08, 95%CI = 0.60 to 1.55, P < 0.001) showed potential associations with disease severity in IBD patients. Additionally, NLR (SMD = 0.43, 95%CI = 0.15 to 0.70, P = 0.002) and eosinophil-to-lymphocyte ratio (ELR) (SMD = 0.63, 95%CI = 0.26 to 1.00, P < 0.001) had potential associations with endoscopic response in IBD patients. Moreover, NLR was potentially associated with disease relapse(OR = 1.35, 95% CI:1.09 to 1.68; P = 0.006) and steroid responsiveness (SMD = 0.50, 95%CI = 0.15 to 0.85, P = 0.005).

conclusionNLR, PLR, NPR, and CRP/ALB are potential predictors of disease activity in IBD patients. PLR shows the potential to predict disease severity, while NLR and ELR are potential indicators of endoscopic response. Furthermore, NLR is also a potential predictor of relapse and steroid responsiveness. Currently, there is insufficient evidence to support an association between NLR and the severity of IBD, whereas lymphocyte-to-monocyte ratio (LMR) appears to be associated with both the severity and activity of IBD and PLR and eosinophil*neutrophil-to-lymphocytes ratio (ENLR) are associated with endoscopic response in IBD. PROSPERO REGISTRATION: CRD 42024609659.

Indexed as

Inflammatory Bowel DiseasesC-Reactive ProteinHumansInflammationLymphocyte CountLymphocytesNeutrophilsPlatelet CountPrognosisSeverity of Illness IndexC-Reactive ProteinClinical prognostic valueCrohn’s diseaseImmunoinflammatory indexInflammatory bowel diseaseMeta-analysisUlcerative colitis

Identifiers

PMID40442599
PMCPMC12121125

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.