Evidence map›Paper›PMID 37434819›Full record

ArticleAmerican journal of translational research2023

Correlation of immune inflammatory indices and nutritional risk index with prognosis in patients with non-small cell lung cancer.

Zhongmiao Shi, Dawei Zheng, Xiaowan Tang, Youyi Du

Abstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

4 authors.

Zhongmiao ShiDepartment of Cardio-Thoracic Surgery, Shaoxing Shangyu Hospital of Traditional Chinese Medicine Shaoxing 312300, Zhejiang, China.
Dawei ZhengDepartment of Respiratory, Nanyang Central Hospital Nanyang 473000, Henan, China.
Xiaowan TangDepartment of Medical Oncology, Taizhou First People's Hospital Taizhou 318000, Zhejiang, China.
Youyi DuDepartment of Respiratory Medicine, Lishui Central Hopistal Lishui 323000, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship of lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and nutritional risk index (NRI) with the prognosis of non-small cell lung cancer (NSCLC).

methodsThe clinical data of 400 NSCLC patients undergoing surgery at Shaoxing Shangyu Hospital of Traditional Chinese Medicine from January 2019 to June 2022 were collected for this retrospective analysis. The optimal cutoff values for NLR, PLR, LMR and NRI were determined using receiver operating characteristic (ROC) curves. The patients were grouped according to the optimal cutoff values, and the clinicopathological characteristics were compared between groups. The Kaplan-Meier survival curve and Cox risk model were used to identify the independent risk factors affecting the prognosis of patients with NSCLC. A nomogram risk prediction model was constructed and its effectiveness was verified.

resultsROC curve analysis revealed that the area under the curve (AUC) values for NLR, PLR, LMR and NRI in predicting overall survival of NSCLC patients were 0.827, 0.753, 0.719 and 0.770, respectively. The optimal cutoff values for NLR, PLR, LMR and NRI were 2.49, 126.32, 3.02 and 89, respectively. Survival analysis found that the survival time was shorter in patients with NLR>2.49, PLR>126.32, LMR>3.02 and NRI≤89. Results from Cox model indicated that TNM staging, NLR>2.49, LMR>3.02, NRI≤89, surgical method, intraoperative blood loss, postoperative complication, and adjuvant chemotherapy were risk factors affecting the prognosis of NSCLC patients. A nomogram was constructed based on the results of multivariate analysis. The AUC of the nomogram was 0.967 (95% CI: 0.943-0.992) and 0.948 (95% CI: 0.874-1) in the training set and the test set, respectively. The C-index was 0.90 and 0.89, respectively. The calibration curve demonstrated good agreement between the predicted values of the nomogram and the actual observed values.

conclusionNLR, LMR and NRI are significant predictors of the prognosis of patients with NSCLC. NLR>2.49, LMR>3.02, and NRI≤89 are risk factors for the prognosis of NSCLC patients.

Indexed as

LMRNLRNRINSCLCrelevance

Identifiers

PMID37434819
PMCPMC10331693

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.