Evidence map›Paper›PMID 33088744›Full record

ArticleInternational journal of applied & basic medical research

Red Cell Distribution Width as a Predictor of Malignancy in Patients Who Underwent Upper Gastrointestinal System Endoscopy.

Okan Murat Akturk, Mikail Çakir

Open access · greenAbstract read
In one paragraph

Article in International journal of applied & basic medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Development and validation of a relatively accurate gastric cancer high-risk group screening scoring system in urban residents.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  2. Article
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

2 authors at 1 institution in 1 country.

Okan Murat AkturkDepartment of Surgery, Haseki Training and Research Hospital, İstanbul, Turkey.
Mikail ÇakirDepartment of Surgery, Haseki Training and Research Hospital, İstanbul, Turkey.
Haseki Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRed cell distribution width (RDW) has predictive properties in different benign and malignant diseases.

aimOur aim was to evaluate the predictive value of RDW for malignant gastric lesions by upper gastrointestinal screening. MATERIALS AND

methodsData of 91 male patients (Group A) who underwent upper gastrointestinal endoscopy and subsequent surgery for gastric malignancy and age-matched 91 healthy male patients (Group B) with benign disorders were reviewed in this retrospective cohort study. The pathology reports, laboratory parameters, and demographics of the patients were recorded for comparison. Receiver operating characteristic curves were plotted for RDW, and a threshold for prediction of malignancy was calculated.

resultsThe average age of the patients with gastric cancer was 62 (interquartile range [IQR]: 53-70) years. The difference in RDW levels between Group A and Group B was found to be significant: 14.40% (IQR: 13.40-16.40) versus 13.10% (IQR: 12.55-13.50) for the malignant and benign groups, respectively,

conclusionRDW was found to have a PPV for malignancy in nearly two-thirds of the patients and had a similar NPV.

Indexed as

Endoscopygastric malignancyred cell distribution widthstomach cancer

Identifiers

PMID33088744
PMCPMC7534711
OpenAlexW3091654428

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.