Evidence map›Paper›PMID 32547093›Full record

ArticleOncoTargets and therapy2020

The Value of ABO Blood Group and Complete Blood Count for the Prognosis Analysis of Gastric Cancer Patients.

Xiao-Jie Sun, Le Ai, Yang-Chun Feng

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Xiao-Jie Sun *Blood Transfusion Center, Tumor Hospital Affiliated to Xinjiang Medical University, Xinjiang, People's Republic of China.
Le Ai *Clinical Laboratory Center, Tumor Hospital Affiliated to Xinjiang Medical University, Xinjiang, People's Republic of China.
Yang-Chun FengClinical Laboratory Center, Tumor Hospital Affiliated to Xinjiang Medical University, Xinjiang, People's Republic of China.ORCID 0000-0003-4856-0712
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the value of ABO blood group and complete blood count results in predicting the survival rate of patients with gastric cancer. PATIENTS AND

methodsA retrospective study was conducted to collect 488 gastric cancer patients diagnosed in the Tumor Hospital Affiliated to Xinjiang Medical University from January 2010 to December 2011. Relevant clinical data were collected by the medical record system, and the patients were followed up by the medical record follow-up system of the hospital. The follow-up was ended until the death of the patients, and the survival time of all patients was obtained. Survival curve and Cox regression analysis model were used to study the role of various indicators in the prognosis of gastric cancer patients.

resultsNeutrophil lymphocyte ratio (NLR), neutrophil monocyte ratio (NMR), lymphocyte monocyte ratio (LMR) and platelet distribution width (PDW) in blood routine test could predict the death outcome of gastric cancer patients, with the predicted thresholds of 1.95, 13.49, 5.22 and 11.25, respectively. Survival curve analysis showed that female patients, type O blood patients, LMR >5.22 patients, NMR >13.49 patients and NLR ≤1.95 patients had longer survival. Multivariate Cox regression analysis model showed that gender and NLR were independent prognosis risk factors for gastric cancer, with HR values of 2.964 (95% CI of 2.258-3.891) and 1.103 (95% CI of 1.028-1.183), respectively. PLT and PDW were independent prognosis protective factors for gastric cancer, with HR values of 0.998 (95% CI of 0.997-1.000) and 0.891 (95% CI of 0.797-0.996), respectively. Compared with type O blood patients, patients with type A blood, type B blood and type AB blood had 3.472 times (95% CI 2.562-4.706), 3.368 times (95% CI 2.454-4.624) and 4.407 times (95% CI 2.871-6.766) increased risk of death.

conclusionThe results of NLR, PLT, PDW and ABO blood group can help to predict the survival of gastric cancer patients.

Indexed as

ABO blood groupcomplete blood countgastric cancerprognostic analysis

Identifiers

PMID32547093
PMCPMC7260541
OpenAlexW3028290606

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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.