Evidence map›Paper›PMID 38090322›Full record

ArticleJournal of thoracic disease2023

Association between the modified lung immune predictive index and clinical outcomes of advanced non-small cell lung cancer treated with first-line immune checkpoint inhibitors combined with chemotherapy.

Hanyan Xu, Wenyi Tian, Xiuxiu Lin, Tracy L Leong, Nobuhiko Seki, Yoshinobu Ichiki, Shanshan Su, Junjie Chen, Yuping Li, Junru Ye

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 6 institutions in 3 countries.

Hanyan Xu *Department of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Wenyi Tian *Department of Pulmonary and Critical Care Medicine, the People's Hospital of Wenshan Prefecture, Wenshan, China.
Xiuxiu LinDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Tracy L LeongDepartment of Respiratory Medicine, Austin Hospital, Heidelberg, Australia.
Nobuhiko SekiDivision of Medical Oncology, Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan.
Yoshinobu IchikiDepartment of General Thoracic Surgery, Saitama Medical University International Medical Center, Saitama, Japan.
Shanshan SuDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Junjie ChenDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yuping LiDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Junru YeDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
First Affiliated Hospital of Wenzhou Medical University · CNWenzhou Medical University · CNAustin Hospital · AUPeople’s Hospital of Wenshan Prefecture · CNSaitama Medical University · JPTeikyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As revealed by previous studies, the modified lung immune predictive index (mLIPI) can predict outcomes in patients with lung cancer receiving single-agent immunotherapy. However, the application value of the mLIPI for patients treated with combination immunotherapy requires further investigation. In this study, we aimed to explore the relationship between the mLIPI and the efficacy of treatment together with the prognosis of patients with advanced non-small cell lung cancer (NSCLC) receiving first-line immune checkpoint inhibitors (ICIs) combined with platinum-based chemotherapy. Methods: In this retrospective study, we enrolled patients with advanced NSCLC treated with ICIs plus chemotherapy from March 2019 to June 2022. The patients were classified into good, intermediate, and poor/very poor groups according to their mLIPI before treatment. We further calculated the disease control rate (DCR), objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) of the three groups. The predictive ability of the mLIPI was evaluated by plotting a time-dependent receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Results: A total of 209 patients were included in this study. There were 75 patients in the good group, 114 patients in the intermediate group, and 20 patients in the poor/very poor group. The median PFS was 11.2 months [95% confidence interval (CI): 8.763-13.704] in the good group; 8.1 months (95% CI: 7.354-8.846) in the intermediate group; and 5.4 months (95% CI: 2.142-8.658) in the poor/very poor group. The median OS was not reached in the good group, 29.5 months (95% CI: 23.555-35.512) in the intermediate group, and 14.5 months (95% CI: 8.567-20.366) in the poor/very poor group (P<0.05). Multivariate analysis showed that the mLIPI was independently associated with PFS and OS (P<0.05); the AUC values of the mLIPI for predicting PFS at 3, 6, and 9 months were 0.673, 0.637, and 0.614, respectively, and for predicting OS at 6, 12, and 24 months were 0.715, 0.655, and 0.625, respectively. Conclusions: The pretreatment mLIPI could be used to predict outcomes in patients with NSCLC receiving first-line ICIs plus chemotherapy.

Indexed as

chemotherapyImmune checkpoint inhibitors (ICIs)modified lung immune predictive index (mLIPI)non-small cell lung cancer (NSCLC)

Identifiers

PMID38090322
PMCPMC10713284
OpenAlexW4389100839

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.