Evidence map›Paper›PMID 39876899›Full record

ArticleFrontiers in oncology2024

Efficacy and safety of anlotinib as maintenance treatment in extensive-stage small cell lung cancer: a single-armed single center retrospective study.

Jin Xiong, Lei Xia

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

2 authors.

Jin XiongDepartment of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lei XiaDepartment of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Patients with extensive-stage small cell lung cancer (ES-SCLC) have a poor Q6 prognosis and there is no standard protocol for maintenance treatment. Anlotinib as a third-line or beyond therapy for ES-SCLC was proved to be effective. Methods: We retrospectively screened of patients with ES-SCLC who started receiving anlotinib as first-line or second-line therapy at the Second Affiliated Hospital of Chongqing Medical University from November 2018 to December 2022. 30 patients treated with anlotinib based combination therapy and subsequent maintenance therapy were included. The primary study endpoint was progression-free survival (PFS) and the secondary study endpoints were overall survival (OS), clinical response and adverse events (AEs). Results and discussion: In 30 ES-SCLC patients, the median PFS and OS were 7.2 months and 17.6 months respectively. The ORR and DCR were 50.0% (15/30) and 86.7% (26/30) respectively. The median PFS was 8.2 months and 5.6 months for patients who received synchronized immunotherapy or chemotherapy. The median OS was 20.1 months and 15.1 months for patients who received synchronized immunotherapy or chemotherapy. The median time to intracranial progression (TTP) was 7.2 months for patients who were without brain metastases before receiving anlotinib. No unexpected AEs were reported. Grade 3-4 adverse events were reported in 10 patients (33.3%). No treatment-related deaths occurred during this study. Our study has indicated the good efficacy and safety about the application of anlotinib in the maintenance therapy in the first-line or second-line treatment of ES-SCLC and it can also achieve good intracranial control.

Indexed as

adverse (side) effectsanlotinibeffectivenessextensive-stage small cell lung cancersafety

Identifiers

PMID39876899
PMCPMC11772156

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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.