Evidence map›Paper›PMID 35662746›Full record

ArticleFuture science OA2022

Prognostic values of inflammatory indexes in bevacizumab-treated patients with advanced non-small-cell lung cancer.

Jingru Yang, Mingliang Deng, Minghong Bi, Yaping Wang, Xuxu Qiao, Shanshan Zhang

Abstract read
In one paragraph

Article in Future science OA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors.

Jingru YangDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, China.
Mingliang DengDepartment of Neurosurgery, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, China.
Minghong BiDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, China.
Yaping WangDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, China.
Xuxu QiaoDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, China.
Shanshan ZhangDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Inflammatory indexes, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and lymphocyte-to-monocyte ratio (LMR), have been confirmed as prognostic factors in multiple manigances. However, the prognostic value of these parameters in bevacizumab-treated non-small-cell lung cancer (NSCLC) is still not clear. Methods: We retrospectively studied 119 patients with advanced NSCLC who received bevacizumab treatment. The associations of pretreatment NLR, PLR, SII and LMR with progression-free survival (PFS) and overall survival (OS) were analyzed. Results & Conclusion: The median PFS and OS of patients with high baseline NLR, PLR and SII and low LMR were significantly decreased than those of patients with low baseline NLR, PLR and SII and high LMR. Multivariable analysis indicated that high baseline SII was independently related with inferior prognosis, and baseline LMR was an independent predictor for OS.

Indexed as

bevacizumablymphocyte-to-monocyte rationeutrophil-to-lymphocyte rationon-small-cell lung cancerplatelet-to-lymphocyte ratiosystemic immune-inflammation index

Identifiers

PMID35662746
PMCPMC9136631

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.