Evidence map›Paper›PMID 28860898›Full record

ArticleKorean journal of radiology

Human Epidermal Growth Factor Receptor 2 Expression in Unresectable Gastric Cancers: Relationship with CT Characteristics.

Jeong Sub Lee, Se Hyung Kim, Seock-Ah Im, Min A Kim, Joon Koo Han

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 3 institutions in 1 country.

Jeong Sub LeeDepartment of Radiology, Jeju National University Hospital, Jeju 63241, Korea.
Se Hyung KimDepartment of Radiology, Seoul National University Hospital, Seoul 03080, Korea.
Seock-Ah ImDepartment of Internal Medicine, Seoul National University Hospital, Seoul 03080, Korea.
Min A KimDepartment of Pathology, Seoul National University Hospital, Seoul 03080, Korea.
Joon Koo HanDepartment of Radiology, Seoul National University Hospital, Seoul 03080, Korea.
Seoul National University Hospital · KRJeju National University Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo retrospectively analyze the qualitative CT features that correlate with human epidermal growth factor receptor 2 (HER2)-expression in pathologically-proven gastric cancers. MATERIALS AND

methodsA total of 181 patients with pathologically-proven unresectable gastric cancers with HER2-expression (HER2-positive [n = 32] and negative [n = 149]) were included. CT features of primary gastric and metastatic tumors were reviewed. The prevalence of each CT finding was compared in both groups. Thereafter, binary logistic regression determined the most significant differential CT features. Clinical outcomes were compared using Kaplan-Meier method.

resultsHER2-postive cancers showed lower clinical T stage (21.9% vs. 8.1%;

conclusionHER2-positive gastric cancers show less-advanced T stage, hyperattenuation on the portal phase, and frequently metastasize to the liver, as compared to HER2-negative cancers.

Indexed as

AdultAgedAged, 80 and overErb-b2 Receptor Tyrosine KinasesFemaleHumansKaplan-Meier EstimateLiver NeoplasmsLogistic ModelsLymphatic MetastasisMaleMiddle AgedNeoplasm StagingOdds RatioRetrospective StudiesStomach NeoplasmsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesCancerCTHER2 statusStomach

Identifiers

PMID28860898
PMCPMC5552464
OpenAlexW2743884393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.