Evidence map›Paper›PMID 29622399›Full record

ArticleThe Journal of surgical research2018

Can a gastric cancer risk survey identify high-risk patients for endoscopic screening? A pilot study.

Haejin In, Marisa Langdon-Embry, Lauren Gordon, Clyde B Schechter, Judith Wylie-Rosett, Philip E Castle, M Margaret Kemeny, Bruce D Rapkin

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of surgical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

8 authors at 3 institutions in 1 country.

Haejin InMontefiore Medical Center/Albert Einstein College of Medicine, Department of Surgery, Bronx, New York; Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, New York. Electronic address: hin@montefiore.org.
Marisa Langdon-EmbryMontefiore Medical Center/Albert Einstein College of Medicine, Department of Surgery, Bronx, New York.
Lauren GordonMontefiore Medical Center/Albert Einstein College of Medicine, Department of Surgery, Bronx, New York.
Clyde B SchechterAlbert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, New York; Albert Einstein College of Medicine, Department of Family and Social Medicine, Bronx, New York.
Judith Wylie-RosettAlbert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, New York.
Philip E CastleAlbert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, New York.
M Margaret KemenyQueens Hospital Center, Queens, New York.
Bruce D RapkinAlbert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, New York.
Albert Einstein College of Medicine · USMontefiore Medical Center · USQueens Hospital Center · US

Funding

Collaborations and NCORP Collective ManagementUG1CA189823 · NCI · MAYO CLINIC ROCHESTER · PI Evanthia Galanis, Olwen Hahn · 2014 to 2026
$120.6M
Montefiore Academic Community NCORP ProgramUG1CA189859 · NCI · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI Balazs Halmos, Della Makower · 2014 to 2026
$10.8M
NCI NIH HHS UG1 CA189823NCI NIH HHS UG1 CA189859
6 · The paper itself

Abstract

backgroundA questionnaire that distinguishes how variability in gastric cancer prevalence is associated with ethnicity/birth country/immigration/cultural diet along with known risk factors may improve targeting populations for gastric cancer screening in the United States.

methodsExisting literature was used to identify the item pool. Cluster analysis, focus groups, and cognitive interviewing were used to reduce collinear items and refine the questionnaire. Logistic regression analysis was used to determine which items distinguished gastric cancer cases from the primary care and community controls.

resultsThe results of analysis of data from 40 cases and 100 controls (primary care = 47; community = 53) were used to reduce the 227 item pool to 12 items. After ranking these variables using model bootstrapping, a logistic regression model using the highest ranked eight variables was chosen as the final model. Older age, foreign nativity, daily consumption of cultural food at ages 15-18, less than high-school education, and greater acculturation were significantly associated with being a gastric cancer case compared with the controls.

conclusionsAn eight-item survey that addresses gastric cancer risk factors, ethnicity, cultural habits, and immigration patterns has potential to identify high-risk persons from multicultural areas within the US, who might benefit from endoscopic screening for gastric cancer.

Indexed as

GastroscopyPatient SelectionAgedAge FactorsCase-Control StudiesCluster AnalysisEarly Detection of CancerFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedPilot ProjectsPrevalenceRisk FactorsEarly detection of gastric cancerGastric cancer screeningRisk assessment questionnaireRisk prediction model

Identifiers

PMID29622399
PMCPMC5972059
OpenAlexW2796020219

What OpenQuestion holds

Textmetadata
LicenceTDM
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.