Evidence map›Paper›PMID 35399190›Full record

ArticleTherapeutic advances in gastroenterology2022

Development and validation of a non-invasive biomarker-based model to identify endoscopic recurrences of Crohn's disease.

Gaoshi Zhou, Rirong Chen, Yueyun Jiang, Li Li, Jieqi Zheng, Chao Li, Shenghong Zhang, Minhu Chen

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 1 institution in 1 country.

Gaoshi ZhouDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Rirong ChenDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-8230-1995
Yueyun JiangThe Phase I Clinical Trial Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Li LiDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-3203-901X
Jieqi ZhengZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Chao LiZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Shenghong ZhangDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan 2nd Road, Guangzhou 510000, China.ORCID https://orcid.org/0000-0002-9088-8781
Minhu ChenDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan 2nd Road, Guangzhou 510000, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endoscopic recurrence is common in postoperative patients with Crohn's disease (CD). Monitoring endoscopic recurrence is important for selecting an appropriate treatment to prevent the development of postoperative disease. The aim of this study was to develop and validate a diagnostic model to identify endoscopic recurrence. Methods: This was a retrospective cohort study recruiting postoperative CD patients who underwent endoscopy at the First Affiliated Hospital, Sun Yat-sen University from January 2016 to June 2020. Endoscopic recurrence was defined as Rutgeerts score > i1. Thirty non-invasive biomarkers, including C-reactive protein, erythrocyte sedimentation rate, vitamin D, complete blood count, and biochemical blood indices, were used as candidate predictors to build a multivariate logistic regression diagnostic model. The predictive ability of the diagnostic models was assessed by receiving the area under the characteristic curve (AUC) and calibration plots, and internal validation was performed by the bootstrap method. Results: Two hundred and nineteen eligible patients were included in this study, and 135 (61.6%) patients had a postoperative endoscopic recurrence. The final diagnostic model included eight biomarkers with an AUC (95% confidence interval (CI)) of 0.796 (0.737-0.855) to identify endoscopic recurrence. The AUC, sensitivity, and specificity of this diagnostic model were 0.781 (0.780-0.782), 0.647 (0.643-0.651) and 0.811 (0.807-0.815), respectively, by internal validation. In addition, the diagnostic model exhibited good calibrability with calibration slope, calibration-in-the-large ('mean calibration') and Brier scores of 1.00, 0.00, and 0.175, respectively. Conclusion: This non-invasive biomarker-based diagnostic model has an excellent ability to identify endoscopic recurrence in patients with CD. Application of the model to clinical practice to monitor postoperative patients may be helpful for patient management.

Indexed as

biomarkersCrohn’s diseaseendoscopic recurrencepredictive model

Identifiers

PMID35399190
PMCPMC8984852
OpenAlexW4225849868

What OpenQuestion holds

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LicenceCC BY-NC
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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.