Evidence map›Paper›PMID 39802041›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2025

Peripheral Blood NMLR Can Predict 5-Year All-Cause Mortality in Patients with Chronic Obstructive Pulmonary Disease.

Yuer Li, Shaobo Ge, Jin Liu, Rui Li, Rui Zhang, Juan Wang, Jianli Pan, Qiuhong Zhang, Jie Zhang, Ming Zhang

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2025. 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
–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. Article
  2. Article
  3. Predictive Value of SAPS II for 28-Day All-Cause Mortality in AECOPD Patients Admitted to the ICU.International journal of chronic obstructive pulmonary disease · 2026
    Article
  4. Observational
  5. 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

10 authors.

Yuer LiDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Shaobo GeDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Jin LiuDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.ORCID 0009-0005-1748-1300
Rui LiDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Rui ZhangDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Juan WangDepartment of Ultrasound, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Jianli PanDepartment of Special Need, Xi'an Children's Hospital, Xi'an, Shaanxi, People's Republic of China.
Qiuhong ZhangDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Jie ZhangDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Ming ZhangDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is characterized by pulmonary and systemic inflammation. The peripheral blood (neutrophil + monocyte)/lymphocyte ratio (NMLR) can predict the clinical outcomes of several inflammatory diseases. However, its prognostic value in COPD remains unknown. Methods: This retrospective study included 870 patients with COPD due to acute exacerbation, and the 5-year all-cause mortality of these patients was recorded. The Kaplan-Meier method was used to compare the mortality risk of these patients according to their NMLR value. Multivariable COX hazard regression and restricted cubic spline model were used to assess the relationship between the NMLR and 5-year all-cause mortality of patients with COPD. Results: The NMLR values of non-surviving patients with COPD were significantly increased compared to the survivors [3.88 (2.53-7.17) vs 2.95 (2.08-4.89), P=0.000]. The area under the NMLR receiver operating characteristic curve for predicting the 5-year all-cause mortality of COPD patients was 0.63. Kaplan-Meier survival curves showed that the 5-year all-cause mortality of COPD patients was significantly increased when the admission peripheral blood NMLR was ≥ 5.90 (27.3% vs 12.4%, P=0.000). The COX regression model showed that NMLR was an independent predictor of 5-year all-cause mortality in COPD patients (hazard ratio=1.84, 95% confidence interval: 1.28-2.64, P=0.001). Moreover, the restricted cubic spline model showed a non-linear relationship between NMLR and COPD death risk (P Conclusion: The admission peripheral blood NMLR is a significant predictor of 5-year all-cause mortality in patients with COPD, and high NMLR values may indicate a poor clinical prognosis.

Indexed as

LymphocytesMonocytesNeutrophilsPulmonary Disease, Chronic ObstructiveAgedCause of DeathDisease ProgressionFemaleHumansLeukocyte CountLymphocyte CountMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective Studieschronic obstructive pulmonary diseaseinflammationlymphocytemonocyteneutrophilprognosis

Identifiers

PMID39802041
PMCPMC11725238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.