Evidence map›Paper›PMID 30479467›Full record

ArticleWorld journal of gastroenterology2018

Prediction of colorectal tumor grade and invasion depth through narrow-band imaging scoring.

Yasuhiko Maeyama, Keiichi Mitsuyama, Tetsuhiro Noda, Shiuchiro Nagata, Tsutomu Nagata, Shinichiro Yoshioka, Hikaru Yoshida, Michita Mukasa, Hiroaki Sumie, Hiroshi Kawano and 5 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in World journal of gastroenterology, 2018. 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
0.3field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

15 authors at 3 institutions in 1 country.

Yasuhiko MaeyamaDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Keiichi MitsuyamaDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan. ibd@med.kurume-u.ac.jp.
Tetsuhiro NodaDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Shiuchiro NagataDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Tsutomu NagataDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Shinichiro YoshiokaDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Hikaru YoshidaDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Michita MukasaDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Hiroaki SumieDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Hiroshi KawanoDepartment of Gastroenterology, St. Mary's Hospital, Kurume 830-8543, Japan.
Jun AkibaDepartment of Diagnostic Pathology, Kurume University Hospital, Kurume 830-0011, Japan.
Yuko ArakiBiostatistics Center, Kurume University School of Medicine, Kurume 830-0011, Japan.
Tatsuyuki KakumaBiostatistics Center, Kurume University School of Medicine, Kurume 830-0011, Japan.
Osamu TsurutaDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Takuji TorimuraDivision of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan.
Kurume University Hospital · JPSt Mary's Hospital · JPKurume University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine the usefulness of assigning narrow-band imaging (NBI) scores for predicting tumor grade and invasion depth in colorectal tumors.

methodsA total of 161 colorectal lesions were analyzed from 138 patients who underwent endoscopic or surgical resection after conventional colonoscopy and magnifying endoscopy with NBI. The relationships between the surface and vascular patterns of the lesions, as visualized with NBI, and the tumor grade and depth of submucosa (SM) invasion were determined histopathologically. Scores were assigned to distinct features of the surface microstructures of tubular and papillary-type lesions. Using a multivariate analysis, a model was developed for predicting the tumor grade and depth of invasion based on NBI-finding scores.

resultsNBI findings that correlated with a high tumor grade were associated with the "regular/irregular" (

conclusionOur multivariate statistical model for predicting tumor grades and invasion depths from NBI-finding scores may help standardize the diagnosis of colorectal lesions and inform therapeutic strategies.

Indexed as

Models, StatisticalAgedColonoscopyColorectal NeoplasmsFemaleHumansMaleMiddle AgedNarrow Band ImagingNeoplasm GradingNeoplasm InvasivenessRetrospective StudiesSensitivity and SpecificityColorectal cancerMagnifying narrow-band imagingScoreSurface patternVascular pattern

Identifiers

PMID30479467
PMCPMC6235797
OpenAlexW2901576557

What OpenQuestion holds

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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.