Evidence map›Paper›PMID 25253970›Full record

SynthesisWorld journal of gastroenterology2014

Kudo's pit pattern classification for colorectal neoplasms: a meta-analysis.

Ming Li, Syed Mohsin Ali, Syeda Umm-a-OmarahGilani, Jing Liu, Yan-Qing Li, Xiu-Li Zuo

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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  17. A step-by-step guide to approaching colon polyps.Gastroenterology and hepatology from bed to bench · 2023
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  18. Review
  19. Article
  20. Observational
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

6 authors.

Ming LiMing Li, Syed Mohsin Ali, Syeda Umm-a-OmarahGilani, Jing Liu, Yan-Qing Li, Xiu-Li Zuo, Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan 250012, Shandong Province, China.
Syed Mohsin AliMing Li, Syed Mohsin Ali, Syeda Umm-a-OmarahGilani, Jing Liu, Yan-Qing Li, Xiu-Li Zuo, Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan 250012, Shandong Province, China.
Syeda Umm-a-OmarahGilaniMing Li, Syed Mohsin Ali, Syeda Umm-a-OmarahGilani, Jing Liu, Yan-Qing Li, Xiu-Li Zuo, Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan 250012, Shandong Province, China.
Jing LiuMing Li, Syed Mohsin Ali, Syeda Umm-a-OmarahGilani, Jing Liu, Yan-Qing Li, Xiu-Li Zuo, Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan 250012, Shandong Province, China.
Yan-Qing LiMing Li, Syed Mohsin Ali, Syeda Umm-a-OmarahGilani, Jing Liu, Yan-Qing Li, Xiu-Li Zuo, Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan 250012, Shandong Province, China.
Xiu-Li ZuoMing Li, Syed Mohsin Ali, Syeda Umm-a-OmarahGilani, Jing Liu, Yan-Qing Li, Xiu-Li Zuo, Department of Gastroenterology, Qilu Hospital, Shandong University, Jinan 250012, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo analyze the current available evidence of Kudo's pit pattern classification for diagnosing colorectal neoplasms.

methodsA search was performed on Pubmed/Embase to identify studies reporting the outcomes of the pit pattern classification in colorectal polyps. Retrieved records were evaluated and selected by two independent investigators. The number of patients, polyps and diagnostic performance of Kudo's pit pattern classification were retrieved from suitable studies. Pooled sensitivities and specificities were calculated using fixed or random effect models according to their heterogeneity. Publication bias was evaluated using funnel plot, Egger's test, and Begg's test. Sensitivity analysis was performed by omitting one study at a time and selecting a subgroup consisting of 11 magnifying chromoendoscopy studies.

results20 eligible studies were included in which a total of 5111 colorectal lesions in 3418 patients were identified for the differentiation of neoplastic and non-neoplastic polyps. Pit pattern classification in all the studies of mucosal patterns with magnification resulted in a pooled sensitivity of 89.0% (95%CI: 85.2-91.9) and pooled specificity of 85.7% (95%CI: 81.3-89.2) and the area under the SROC curve was 0.9354. There was significant publication bias (P = 0.038 and 0.006 for sensitivity and specificity using Egger's test, P = 0.035 and 0.139 for sensitivity and specificity using Begg's test, respectively). No single study significantly affected the pooled result, and the magnifying chromoendoscopy subgroup yielded a sensitivity of 92.7% (95%CI: 89.2-95.2) and specificity of 87.3% (95%CI: 81.6-91.4).

conclusionKudo's pit pattern classification is an accurate diagnostic method for the differentiation of neoplastic colorectal lesions. Publication bias is significant in the current available literature.

Indexed as

Area Under CurveChi-Square DistributionColonic PolypsColonoscopyColorectal NeoplasmsDiagnosis, DifferentialEarly Detection of CancerHumansImage EnhancementPredictive Value of TestsROC CurveColonic neoplasiaEndoscopeMagnifying endoscopyMeta-analysisSensitivitySpecificity

Identifiers

PMID25253970
PMCPMC4168103

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.