Evidence map›Paper›PMID 30761850›Full record

ArticleTurkish journal of medical sciences2019

Differentiation between intestinal Behçet’s disease and Crohn’sdisease based on endoscopy

Jing-Fen Ye, Jian-Long Guan

Open access · bronzeAbstract read
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Article in Turkish journal of medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

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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

2 authors.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: Differentiating intestinal Behçet’s disease (BD) from Crohn’s disease (CD) is highly challenging, as they often mimic each other in terms of clinical manifestations. Endoscopy is an important modality for distinguishing bowel lesions. The study was designed to identify clinical manifestations that are easily confused and to evaluate the efficacy of endoscopy for distinguishing intestinal BD from CD by several overlapping signs. Materials and methods: The data from 111 patients with intestinal BD and 81 patients with CD were retrospectively analyzed. Logistic regression was applied to establish a prediction model based on endoscopic findings for the differential diagnosis. The diagnostic efficacy of endoscopy was verified using the area under the receiver operating characteristic (ROC) curve. Results: Among intestinal BD patients mucocutaneous lesions were the leading clinical manifestations. Gastrointestinal symptoms were common in CD but were rare in intestinal BD (P < 0.001). CD patients with moderate-to-severe activity were more common than intestinal BD patients presenting with equivalent activity (P < 0.05). Independent factors that distinguished intestinal BD from CD were solitary ulcer in the ileocecal area (P < 0.001), perianal abscess (P = 0.049), single segment (P < 0.001), round intestinal ulcer (P = 0.013), intestinal obstruction (P = 0.035), and fistula (P < 0.001). The scores ranged from –2 to 3. The area under the ROC curve was 0.874 (95% CI: 0.823–0.926) (P < 0.001). With a score of 1.5 as the diagnostic cutoff value, the sensitivity and specificity were 76.3% and 80.6%, respectively. Conclusion: Mucosal injuries were rarer in patients with intestinal BD than in those with CD. The differentiation model combining several endoscopy features appeared to be reliable for distinguishing between intestinal BD and CD.

Indexed as

EndoscopyBehcet SyndromeCrohn DiseaseDiagnosis, DifferentialHumansRetrospective StudiesROC CurveSensitivity and SpecificityCrohn’s diseasedifferential diagnosisendoscopyIntestinal Behçet’s disease

Identifiers

PMID30761850
PMCPMC7350800
OpenAlexW2913889210

What OpenQuestion holds

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LicenceCC BY
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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.