Evidence map›Paper›PMID 27284423›Full record

ArticleMolecular and clinical oncology2016

Prediction of outcome in breast cancer patients using test parameters from complete blood count.

Pingping Zhang, Yulong Zong, Mohan Liu, Yanhong Tai, Yuan Cao, Chengiin Hu

Open access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
1.1field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  4. The diagnostic efficacy of platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in ovarian cancer.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2017
    Pooled it
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  10. Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach.Advances and applications in bioinformatics and chemistry : AABC · 2024
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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

6 authors at 2 institutions in 1 country.

Pingping ZhangDepartment of Laboratory Medicine, General Hospital of Jinan Military Region, Jinan, Shandong 250031, P.R. China.
Yulong ZongDepartment of Laboratory Medicine, General Hospital of Jinan Military Region, Jinan, Shandong 250031, P.R. China.
Mohan LiuDepartment of Cardiology, Chinese PLA General Hospital, Beijing 100853, P.R. China.
Yanhong TaiDepartment of Pathology, General Hospital of Jinan Military Region, Jinan, Shandong 250031, P.R. China.
Yuan CaoDepartment of Laboratory Medicine, General Hospital of Jinan Military Region, Jinan, Shandong 250031, P.R. China.
Chengiin HuDepartment of Laboratory Medicine, General Hospital of Jinan Military Region, Jinan, Shandong 250031, P.R. China.
Jinan Military General Hospital · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to evaluate the prognostic effect of test parameters from pretreatment complete blood count (CBC) for predicting outcome in breast cancer patients. A total of 162 patients with breast cancer and a long follow-up were enrolled in this study. Red cell indices (RCIs) and neutrophil-lymphocyte ratio (NLR) from CBC prior to treatment, as well as related clinical data, were retrospectively collected. We evaluated the association of RCI and NLR with tumor size, clinical stage, histological grade, estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 status. We further performed survival analysis and Cox multivariate analysis, stratified by RCI and NLR median values, to evaluate their prognostic effects. In the disease-free survival (DFS) analysis, patients in the higher mean corpuscular hemoglobin (MCH) and NLR groups exhibited shorter DFS times compared with those in the lower MCH and NLR groups (P=0.017 for MCH and P=0.039 for NLR). The univariate analysis revealed that both MCH and NLR were significantly associated with DFS. The Cox multivariate analysis demonstrated that only MCH was an independent predictor associated with disease relapse (hazard ratio = 1.975, 95% confidence interval: 1.118-3.487, P=0.019), whereas no index was associated with overall survival. Our results suggest that MCH prior to treatment may be a predictive marker associated with DFS in breast cancer.

Indexed as

breast cancermean corpuscular hemoglobinneutrophil-to-lymphocyte ratioprognosisred cell indices

Identifiers

PMID27284423
PMCPMC4887814
OpenAlexW2305693980

What OpenQuestion holds

Textmetadata
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.