Evidence map›Paper›PMID 29978004›Full record

ArticleEndoscopy international open2018

Development of a computed cleansing score to assess quality of bowel preparation in colon capsule endoscopy.

Aymeric Becq, Aymeric Histace, Marine Camus, Isabelle Nion-Larmurier, Einas Abou Ali, Olivia Pietri, Olivier Romain, Ulriikka Chaput, Cynthia Li, Philippe Marteau and 2 more

Open access · goldAbstract read
In one paragraph

Article in Endoscopy international open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

13 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
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  7. Article
  8. Review
  9. Role of Artificial Intelligence in Video Capsule Endoscopy.Diagnostics (Basel, Switzerland) · 2021
    Review
  10. Article
  11. Review
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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

12 authors at 3 institutions in 3 countries.

Aymeric BecqSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Aymeric HistaceETIS UMR 8051, University Paris-Seine, University of Cergy-Pontoise, ENSEA, CNRS, Cergy, France.
Marine CamusSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Isabelle Nion-LarmurierSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Einas Abou AliSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Olivia PietriSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Olivier RomainETIS UMR 8051, University Paris-Seine, University of Cergy-Pontoise, ENSEA, CNRS, Cergy, France.
Ulriikka ChaputSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Cynthia LiSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Philippe MarteauSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Christian FlorentSaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Xavier DraySaint-Antoine Hospital, AP-HP, Department of Hepatogastroenterology, 184 rue du Faubourg Saint Antoine, 75012 Paris, France.
Sorbonne Université · FRCentre National de la Recherche Scientifique · FRDélégation Paris 5 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND STUDY

aimsColon capsule endoscopy (CCE) does not possess an objective and reliable scoring system to assess the quality of visualization of the colon mucosa. The aim of this study was to establish a colonic computed assessment of cleansing (CAC) score able to discriminate "adequately cleansed" from "inadequately cleansed" CCE still frames. PATIENTS AND

methodsTwelve normal and complete CCEs, using the Pillcam Colon 2 system (Medtronic, Minnesota, United States), were prospectively selected amongst a database. A CAC score, defined as the ratio of color intensities red over green (R/G ratio), and red over brown (R/(R + G) ratio) was calculated for each extracted colonic frame. After sorting and random selection, two sets of still frames representative of the range of these ratios were obtained. These images were analyzed twice in random order by two experienced CCE readers who were blinded to the CAC scores. A receiver operating characteristic (ROC) curve was forged for both types of ratios and a threshold established, yielding the highest diagnostic performance in terms of adequate cleansing assessment.

resultsFour-hundred-and-eight frames were extracted. Regarding the R/G ratio, a threshold value of 1.55 was calculated, with a sensitivity of 86.5 % and a specificity of 77.7 %. Regarding the R/(R + G) ratio, a threshold value of 0.58 was calculated with a sensitivity of 95.5 % and a specificity of 62.9 %.

conclusionThe two proposed CAC scores based on the ratio of color intensities come with high sensitivities for discriminating between "adequately cleansed" and "inadequately cleansed" CCE still frames, but they lack specificity. Further refinement, with implementation of additional image parameters, is warranted.

Identifiers

PMID29978004
PMCPMC6031442
OpenAlexW2527700769

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.