Evidence map›Paper›PMID 28522943›Full record

ReviewIntestinal research2017

Accuracy of computed tomographic features in differentiating intestinal tuberculosis from Crohn's disease: a systematic review with meta-analysis.

Saurabh Kedia, Raju Sharma, Vishnubhatla Sreenivas, Kumble Seetharama Madhusudhan, Vishal Sharma, Sawan Bopanna, Venigalla Pratap Mouli, Rajan Dhingra, Dawesh Prakash Yadav, Govind Makharia and 1 more

Abstract readReview
In one paragraph

Review in Intestinal research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Urinary lipoarabinomannan: A novel diagnostic tool for distinguishing gastrointestinal tuberculosis from Crohn's disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Evidence-based approach to diagnosis and management of abdominal tuberculosis.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Intestinal tuberculosis or Crohn's disease: Illusion or delusion or allusion.JGH open : an open access journal of gastroenterology and hepatology · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Differentiating Crohn's disease from intestinal tuberculosis.World journal of gastroenterology · 2019
    Review
  18. Review
  19. Article
  20. 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

11 authors.

Saurabh KediaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Raju SharmaDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India.
Vishnubhatla SreenivasDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Kumble Seetharama MadhusudhanDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India.
Vishal SharmaDepartment of Gastroenterology, PGIMER, Chandigarh, India.
Sawan BopannaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Venigalla Pratap MouliDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Rajan DhingraDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Dawesh Prakash YadavDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Govind MakhariaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Vineet AhujaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abdominal computed tomography (CT) can noninvasively image the entire gastrointestinal tract and assess extraintestinal features that are important in differentiating Crohn's disease (CD) and intestinal tuberculosis (ITB). The present meta-analysis pooled the results of all studies on the role of CT abdomen in differentiating between CD and ITB. We searched PubMed and Embase for all publications in English that analyzed the features differentiating between CD and ITB on abdominal CT. The features included comb sign, necrotic lymph nodes, asymmetric bowel wall thickening, skip lesions, fibrofatty proliferation, mural stratification, ileocaecal area, long segment, and left colonic involvements. Sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio (DOR) were calculated for all the features. Symmetric receiver operating characteristic curve was plotted for features present in >3 studies. Heterogeneity and publication bias was assessed and sensitivity analysis was performed by excluding studies that compared features on conventional abdominal CT instead of CT enterography (CTE). We included 6 studies (4 CTE, 1 conventional abdominal CT, and 1 CTE+conventional abdominal CT) involving 417 and 195 patients with CD and ITB, respectively. Necrotic lymph nodes had the highest diagnostic accuracy (sensitivity, 23%; specificity, 100%; DOR, 30.2) for ITB diagnosis, and comb sign (sensitivity, 82%; specificity, 81%; DOR, 21.5) followed by skip lesions (sensitivity, 86%; specificity, 74%; DOR, 16.5) had the highest diagnostic accuracy for CD diagnosis. On sensitivity analysis, the diagnostic accuracy of other features excluding asymmetric bowel wall thickening remained similar. Necrotic lymph nodes and comb sign on abdominal CT had the best diagnostic accuracy in differentiating CD and ITB.

Indexed as

Comb signCrohn diseaseIntestinal tuberculosisNecrotic lymph nodes

Identifiers

PMID28522943
PMCPMC5430005

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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.