Evidence map›Paper›PMID 25299041›Full record

SynthesisPloS one2014

Confluent granulomas and ulcers lined by epithelioid histiocytes: new ideal method for differentiation of ITB and CD? A meta analysis.

Juan Du, Yan-Yan Ma, Ha Xiang, You-Ming Li

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. TB or Not TB? A Case of Necrotizing Granulomatous Ileitis.Digestive diseases and sciences · 2026
    Article
  4. Review
  5. Review
  6. Outcomes of Abdominal Tuberculosis Referred for Surgical Management in a Tertiary Care Center in Nepal.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Article
  7. Observational
  8. Review
  9. Article
  10. Evidence-based approach to diagnosis and management of abdominal tuberculosis.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2023
    Review
  11. Saudi Arabia consensus guidance for the diagnosis and management of adults with inflammatory bowel disease.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2022
    Article
  12. Article
  13. Article
  14. Intestinal tuberculosis or Crohn's disease: Illusion or delusion or allusion.JGH open : an open access journal of gastroenterology and hepatology · 2021
    Article
  15. Article
  16. Differentiating Crohn's disease from intestinal tuberculosis.World journal of gastroenterology · 2019
    Review
  17. Clinical and laboratory features of intestinal tuberculosis.Clinical and experimental gastroenterology · 2018
    Article
  18. Review
  19. Article
  20. 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

4 authors.

Juan DuDepartment of Gastroenterology, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Yan-Yan MaDepartment of Gastroenterology, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Ha XiangDepartment of Pathology, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
You-Ming LiDepartment of Gastroenterology, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are few widely accepted criteria other than caseation, which has low sensitivity, for differentiating intestinal tuberculosis (ITB) and Crohn's disease (CD).

objectiveWe performed a meta-analysis to evaluate the use of confluent granulomas and ulcers lined by epithelioid histiocytes as histological methods for differentiating ITB and CD, compared with that of caseation.

methodsWe searched PubMed, Medline, Embase, Web of Science, the Cochrane Library and Chinese Biomedicine Database for all relevant studies on the histological differentiation of ITB and CD. Sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated for each study. Study quality and heterogeneity were assessed. Meta-regression analysis and sensitivity analyses were performed.

resultsTen randomized trials involving 316 ITB and 376 CD patients were included. The results showed that analysis of caseation showed an overall weighted area under the curve (AUC) of 0.9966, overall sensitivity and specificity were 0.21 and 1.00, respectively, with a positive likelihood ratio (+LR) of 10.79, negative likelihood ratio(-LR) of 0.82 and DOR of 13.74. Confluent granulomas had a lower overall weighted AUC of 0.9381, sensitivity and specificity were 0.38 and 0.99, respectively, with a +LR of 16.29, -LR of 0.65 and DOR of 26.52. Overall weighted AUC for ulcers lined by epithelioid histiocytes was 0.9017, sensitivity and specificity were 0.41 and 0.94, respectively, with a +LR of 6.46, -LR of 0.54 and DOR of 13.17. Significant heterogeneity was noted for the studies. Meta-regression analysis showed that study source, publication year, size, design and quality did not affect heterogeneity.

conclusionConfluent granulomas and ulcers lined by epithelioid histiocytes are helpful in distinguishing ITB from CD, which may provide a new method, other than caseating granulomas and acid-fast bacilli, to differentiate ITB and CD in mucosal biopsies.

Indexed as

Area Under CurveBiopsyCell DifferentiationCrohn DiseaseEpithelioid CellsGranulomaHistiocytesHumansOdds RatioSensitivity and SpecificityTuberculosis, GastrointestinalUlcer

Identifiers

PMID25299041
PMCPMC4191941

What OpenQuestion holds

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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.