Evidence map›Paper›PMID 35179795›Full record

ArticleJournal of clinical laboratory analysis2022

Prognostic value of prognostic nutritional index and its variations in advanced non-small-cell lung cancer patients treated with anlotinib monotherapy.

Tian Chen, Gaofeng Liang, Zhenfei Xiang, Jinxian He, Xiaoyu Xu, Mengqiu Tang

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. 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

6 authors at 1 institution in 1 country.

Tian ChenDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0001-8490-600X
Gaofeng LiangDepartment of Thoracic Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Zhenfei XiangDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Jinxian HeDepartment of Thoracic Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Xiaoyu XuDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Mengqiu TangDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Ningbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnlotinib is a third-line or further therapy for advanced non-small-cell lung cancer (NSCLC). However, the lack of simple biomarkers to predict the curative effect of anlotinib creates significant unmet needs in exploring the markers. This study aimed to explore the relationship between the prognostic nutritional index (PNI) and its variations and efficacy of anlotinib.

methodsData for patients with advanced NSCLC who received anlotinib were collected at Ningbo Medical Center Lihuili Hospital. The data included the values of pretreatment PNI (pre-PNI), posttreatment PNI (post-PNI), and ΔPNI (post-PNI minus the pre-PNI). The Kaplan-Meier method was used to generate survival curves, whereas univariate and multivariate Cox regression analyses were used to analyze survival predictors.

resultsA high disease control rate was associated with a high pre-PNI (p = 0.007), high post-PNI (p = 0.000), and high ΔPNI (p = 0.006). Univariable analysis revealed that pre-PNI ≤41.80, post-PNI ≤42.48, and ΔPNI ≤0.20 were significant risk factors for poor survival. According to the multivariate analysis, progression-free survival (PFS) in patients with post-PNI ≤42.48 was significantly shorter than in patients with higher values (median PFS: 1.5 months vs. 4.0 months, p = 0.010).

conclusionsPre-PNI, ΔPNI, and post-PNI were found to be predictive factors for response in advanced NSCLC patients treated with anlotinib as a third-line or further treatment. Only post-PNI was a reliable predictor of PFS. Therefore, PNI and its variations, particularly post-PNI, are affordable and accessible predictors of NSCLC patients treated with anlotinib in clinical work.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansIndolesNutrition AssessmentPrognosisQuinolinesRetrospective StudiesanlotinibIndolesQuinolinesanlotinibnon-small-cell lung cancerprognostic factorprognostic nutritional indextreatment response

Identifiers

PMID35179795
PMCPMC8993602
OpenAlexW4213237169

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.