Evidence map›Paper›PMID 28815039›Full record

ArticleUnited European gastroenterology journal2017

Predicting ADR from PDR and individual adenoma-to-polyp-detection-rate ratio for screening and surveillance colonoscopies: A new approach to quality assessment.

C Schramm, I Scheller, J Franklin, M Demir, F Kuetting, D Nierhoff, T Goeser, U Toex, H M Steffen

Abstract read
In one paragraph

Article in United European gastroenterology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

C SchrammDepartment for Gastroenterology and Hepatology, University Hospital of Cologne, Germany.
I SchellerPractice for Gastroenterology Remscheid, Remscheid, Germany.
J FranklinInstitute for Medical Statistics, Informatics and Epidemiology, University of Cologne, Germany.
M DemirDepartment for Gastroenterology and Hepatology, University Hospital of Cologne, Germany.
F KuettingDepartment for Gastroenterology and Hepatology, University Hospital of Cologne, Germany.
D NierhoffDepartment for Gastroenterology and Hepatology, University Hospital of Cologne, Germany.
T GoeserDepartment for Gastroenterology and Hepatology, University Hospital of Cologne, Germany.
U ToexDepartment for Gastroenterology and Hepatology, University Hospital of Cologne, Germany.
H M SteffenDepartment for Gastroenterology and Hepatology, University Hospital of Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsAdenoma detection rate (ADR) has been established as a quality indicator for screening colonoscopy. Because ADR is cumbersome to obtain in routine practice, polyp detection rate (PDR), polypectomy rate (PR) and adenoma-to-polyp-detection-rate-ratio (APDRR) have been proposed to estimate ADR. This study aimed to evaluate APDRR in order to estimate ADR (ADR

methodsAverage risk screening and surveillance colonoscopies from a community-based private practice and a tertiary academic hospital setting were retrospectively evaluated. APDRR was calculated as averaged group APDRR for all study procedures (APDRR) and for the first half of study procedures of each gastroenterologist (APDRR

resultsA total of 2717 individuals were analyzed. Using APDRR, significant correlations between ADR and ADR

conclusionsADR for subsequent colonoscopies of an individual endoscopist can be reliably estimated from PDR by using an individually calculated APDRR. Prospective studies are needed to verify this promising approach in different practice settings.

Indexed as

Adenoma detection ratecolonoscopycolorectal cancerpolyp detection ratescreening

Identifiers

PMID28815039
PMCPMC5548347

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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.