Evidence map›Paper›PMID 39262716›Full record

ArticleAmerican journal of translational research2024

Correlations of platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio and acute physiology, and chronic health evaluation II score with prognosis of elderly patients with chronic obstructive pulmonary disease and respiratory failure.

Shuyan Zhang, Peisheng Sun

Abstract read
In one paragraph

Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Single-cell hdWGCNA reveals a novel diagnostic model and signature genes of macrophages associated with chronic obstructive pulmonary disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025
    Article
  4. Article
  5. Prognostic Value of Biomarkers in Chronic Obstructive Pulmonary Disease: A Comprehensive Review.International journal of chronic obstructive pulmonary disease · 2025
    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

2 authors.

Shuyan ZhangHebi Polytechnic Hebi 45830, Henan, China.
Peisheng SunThe First Affiliated Hospital of Xinxiang Medical University Xinxiang 45300, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the correlations of platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and acute physiology and chronic health evaluation II (APACHE II) score with the prognosis of elderly patients with chronic obstructive pulmonary disease (COPD) and respiratory failure.

methodsA retrospective analysis was conducted on 110 elderly COPD patients with respiratory failure. General information, inflammatory indices (PLR, NLR), and pulmonary function scores were collected. Statistical comparisons were made using t-tests and chi-square tests. ROC curve analysis evaluated the predictive value of the investigated variables.

resultsCompared to the good-prognosis group, the poor-prognosis group exhibited significantly higher PLR, NLR levels, as well as higher COPD Assessment Test (CAT) and APACHE II scores. Logistic regression analysis identified PLR, NLR, and APACHE II scores as independent prognostic risk factors for COPD patients with respiratory failure. ROC curve analysis confirmed the high predictive value of these variables in forecasting prognosis.

conclusionPLR, NLR, and APACHE II scores, exhibiting correlations with prognosis in elderly COPD patients with respiratory failure, can serve as valuable biomarkers for patient prognosis.

Indexed as

COPDinflammationNLRPLRprognosisrespiratory failure

Identifiers

PMID39262716
PMCPMC11384387

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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.