Evidence map›Paper›PMID 39802135›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2025

Can Digital Rectal Examination Identify the Subtype of Dyssynergic Disorders as Well as High Resolution Anorectal Manometry?

Philippe Onana Ndong, Karine Baumstarck, Véronique Vitton

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In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Philippe Onana NdongService de Gastroentérologie, Hôpital L'Archet 2 Centre Hospitalier Universitaire de Nice Nice France.
Karine BaumstarckService d'Epidémiologie et Economie en Santé, Direction de la Recherche en Santé AP-HM Marseille France.
Véronique VittonService de Gastroentérologie, Hôpital NORD, Assistance Publique Hôpitaux de Marseille Aix-Marseille Université Marseille France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Diagnosing dyssynergic disorders (DD) often requires 3D high-definition anorectal manometry (3D-HRAM), raising concerns about cost, availability, and delayed referral. Digital rectal examination (DRE) offers a reliable, cost-effective alternative for DD diagnosis. This study aimed to assess DRE's capability to classify DD patients into the four subtypes outlined in Rao's classification. Methods: This retrospective monocentric study involved patients diagnosed with DD through 3D-HRAM. After initial 3D-HRAM performed by one physician, patients underwent a clinical examination, including DRE by a second senior clinician blinded to DD subtypes. Statistical tests measured the correlation between DRE and HRAM in classifying the four DD subtypes. Results: The study included 200 patients, revealing commendable overall agreement between DRE and 3D-HRAM (Kappa = 0.658). For subtype diagnosis, correlation was substantial for Subtypes I, II, and IV (0.679, 0.741, 0.649, respectively) and moderate for Subtype III (Kappa = 0.325). Conclusion: DRE demonstrates satisfactory performance in diagnosing the four subtypes of DD. Enhanced training in DRE, emphasizing functional information, has the potential to reduce reliance on additional tests, thereby mitigating economic and organizational impacts.

Indexed as

DREdyssynergic disordersHRAMsubtypes

Identifiers

PMID39802135
PMCPMC11724330

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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.