Evidence map›Paper›PMID 25759524›Full record

ReviewWorld journal of gastroenterology2015

Quantitative image analysis of celiac disease.

Edward J Ciaccio, Govind Bhagat, Suzanne K Lewis, Peter H Green

Abstract readEditorialReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Celiac disease: From pathophysiology to treatment.World journal of gastrointestinal pathophysiology · 2017
    Review
  2. Review
  3. 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

4 authors.

Edward J CiaccioEdward J Ciaccio, Govind Bhagat, Suzanne K Lewis, Peter H Green, Department of Medicine, Celiac Disease Center, Columbia University, New York, NY 10032, United States.
Govind BhagatEdward J Ciaccio, Govind Bhagat, Suzanne K Lewis, Peter H Green, Department of Medicine, Celiac Disease Center, Columbia University, New York, NY 10032, United States.
Suzanne K LewisEdward J Ciaccio, Govind Bhagat, Suzanne K Lewis, Peter H Green, Department of Medicine, Celiac Disease Center, Columbia University, New York, NY 10032, United States.
Peter H GreenEdward J Ciaccio, Govind Bhagat, Suzanne K Lewis, Peter H Green, Department of Medicine, Celiac Disease Center, Columbia University, New York, NY 10032, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We outline the use of quantitative techniques that are currently used for analysis of celiac disease. Image processing techniques can be useful to statistically analyze the pixular data of endoscopic images that is acquired with standard or videocapsule endoscopy. It is shown how current techniques have evolved to become more useful for gastroenterologists who seek to understand celiac disease and to screen for it in suspected patients. New directions for focus in the development of methodology for diagnosis and treatment of this disease are suggested. It is evident that there are yet broad areas where there is potential to expand the use of quantitative techniques for improved analysis in suspected or known celiac disease patients.

Indexed as

AutomationCapsule EndoscopyCeliac DiseaseHumansImage Interpretation, Computer-AssistedIntestine, SmallPredictive Value of TestsPrognosisReproducibility of ResultsSeverity of Illness IndexCeliac diseaseFrequency analysisMotilityVideocapsuleVillous atrophy

Identifiers

PMID25759524
PMCPMC4351206

What OpenQuestion holds

Textmetadata
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.