Evidence map›Paper›PMID 36033514›Full record

ArticleFrontiers in oncology2022

Personalized treatment of extensive stage small cell lung cancer: A case report and literature review.

Huaiyu Wang, Xuning Wang, Suxin Jiang, Jingna Zhu, Jie Liu, Chuanhong Zhou, Yanjun Zhu, Yong Han

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Huaiyu WangThoracic Surgery Department, Air Force Medical Center, Chinese People's Liberation Army (PLA), Beijing, China.
Xuning WangThoracic Surgery Department, Air Force Medical Center, Chinese People's Liberation Army (PLA), Beijing, China.
Suxin JiangThoracic Surgery Department, Air Force Medical Center, Chinese People's Liberation Army (PLA), Beijing, China.
Jingna ZhuThoracic Surgery Department, Air Force Medical Center, Chinese People's Liberation Army (PLA), Beijing, China.
Jie LiuThoracic Surgery Department, Air Force Medical Center, Chinese People's Liberation Army (PLA), Beijing, China.
Chuanhong ZhouThoracic Surgery Department, Air Force Medical Center, Chinese People's Liberation Army (PLA), Beijing, China.
Yanjun ZhuThoracic Surgery Department, Air Force Medical Center, Chinese People's Liberation Army (PLA), Beijing, China.
Yong HanThoracic Surgery Department, Air Force Medical Center, Chinese People's Liberation Army (PLA), Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 50-year-old female patient presented with post-exercise dyspnea in September 2016, and was subsequently diagnosed with SCLC with multiple brain and spinal metastases. The first-line treatment was etoposide combined with cisplatin and synchronously performed radiotherapy for the brain and spinal cord metastases. She was treated with anlotinib after disease progression in December 2018 and continued to have clinical benefit for nearly 25 months. Unexpectedly, the patient can still benefit from further combination treatment with durvalumab after another disease progression in February 2021. Thus, it may be a potential option to use anlotinib along with immunotherapy after the anlotinib resistance in SCLC, but more clinical data are still needed to confirm it. Moreover, ctDNA dynamic monitoring was performed and reflected the outcome of the process of treatment.

Indexed as

anlotinibbTMBdurvalumabextensive-stage small cell lung cancerlong survivalNGS

Identifiers

PMID36033514
PMCPMC9410564

What OpenQuestion holds

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Registered trials

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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.