Evidence map›Paper›PMID 36441595›Full record

Trial reportJournal of clinical laboratory analysis2022

Inflammation-based prognostic scoring system for predicting the prognosis of advanced small cell lung cancer patients receiving anlotinib monotherapy.

Tian Chen, Mengqiu Tang, Xiaoyu Xu, Gaofeng Liang, Zhenfei Xiang, Yi Lu, Chen Wang, Weiyu Shen

Open access · goldAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report 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 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
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

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

8 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
Mengqiu TangDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Xiaoyu XuDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
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.
Yi LuDepartment of Radiation Oncology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Chen WangDepartment of Gastroenterology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Weiyu ShenDepartment of Thoracic Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Ningbo University · CN

Funding

major science and technology innovation in 2025 projects of Ningbo 2019B10039Ningbo Clinical Research Center for thoracic & breast neoplasms 2021L002
6 · The paper itself

Abstract

backgroundAccording to the randomized multicenter phase II trial (ALTER1202), anlotinib has been approved as a third-line therapy for advanced small-cell lung cancer (SCLC). Some studies showed the predictive function of inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in the different cancers treated with anti-vascular targeting drugs. However, none of the studies showed the roles of NLR, PLR, and LMR in SCLC patients receiving anlotinib. Thus, our objective was to establish a scoring system based on inflammation to individuate patient stratification and selection based on NLR, PLR, and LMR.

methodsNLR, PLR, and LMR and their variations were calculated in 53 advanced SCLC patients receiving anlotinib as a third- or further-line treatment at Ningbo Medical Center Lihuili Hospital between January 2019 and December 2021. Kaplan-Meier curves were plotted. Both univariate and multivariate Cox regressions were used to identify predictors of survival.

resultsDisease control rate was related to pre-NLR, pre-PLR, pre-LMR, post-NLR elevation, post-PLR elevation, and post-LMR elevation. The multivariate analysis determined post-NLR elevation, pre-PLR > 240.56, and pre-LMR ≤1.61 to be independently associated with progression-free survival, not overall survival. The inflammation-based prognostic scoring system demonstrated favorable predictive ability from the receiver operating characteristic curve (AUC: 0.791, 95% CI: 0.645-0.938).

conclusionsPost-NLR variation, pre-PLR, and pre-LMR were independent prognostic factors for PFS in advanced SCLC receiving anlotinib monotherapy. The inflammation-based prognostic scoring system can accurately predict effectiveness and survival.

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaHumansIndolesInflammationLymphocytesNeutrophilsPrognosisQuinolinesRetrospective StudiesanlotinibIndolesQuinolinesanlotinibneutrophil to lymphocyte ratio (NLR)platelet lymphocyte ratio (PLR)prognostic scoring systemsmall-cell lung cancer (SCLC)

Identifiers

PMID36441595
PMCPMC9757002
OpenAlexW4310153068

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.