Evidence map›Paper›PMID 20306133›Full record

ArticleDigestive diseases and sciences2010

Predictive power of serum pepsinogen tests for the development of gastric cancer in comparison to the histologic risk index.

Min Sun Kwak, Nayoung Kim, Hye Seung Lee, Hee Eun Lee, Hyun Chae Jung, In Sung Song

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Article in Digestive diseases and sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Article
  4. Article
  5. Article
  6. Serum pepsinogens in gastric cancer screening.Digestive diseases and sciences · 2010
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Min Sun KwakDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Nayoung Kim
Hye Seung Lee
Hee Eun Lee
Hyun Chae Jung
In Sung Song

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe selection of a high-risk group of gastric cancer is important. This study was performed to compare the efficacy of non-invasive gastric cancer screening through the measurement of pepsinogen (PG) I/II ratio and endoscopic screening using histologic criteria (Meining's risk index for gastric cancer) in Korean patients.

methodsIncluded in the study were 460 gastric cancer patients and 460 control cases who underwent upper endoscopy between June 2003 and July 2008 at Seoul National University Bundang Hospital. Serum PG I/II ratio and histologic characteristics were evaluated for each participant. Multivariate logistic regression was performed to compare the predictive power for gastric cancer of both the PG II/I ratio (the inverse form of PG I/II ratio) and the histologic gastric cancer risk index.

resultsA higher PG II/I ratio was significantly associated with a higher risk for gastric cancer (odds ratio of highest quartile for cancer vs. lowest quartile, 3.51; 95% confidence interval, 2.29-5.36) in the multivariate logistic model. The validity (in terms of calibration and discrimination) of the PG-including multivariate logistic model was comparable to the histologic gastric cancer risk index model. The results were similar regardless of the staging of the cancer, Lauren's histologic classification, and the location of the cancer.

conclusionsThese results suggest that non-invasive measurement of serum PG I/II ratio is as effective as Meining's histologic gastric cancer risk index in predicting gastric cancer occurrence.

Indexed as

AgedFemaleHumansKoreaLogistic ModelsMaleMiddle AgedMultivariate AnalysisPepsinogen APredictive Value of TestsRisk FactorsSensitivity and SpecificityStomach NeoplasmsPepsinogen A

Identifiers

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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.