Evidence map›Paper›PMID 35831985›Full record

ArticleCancer medicine2023

Predictive value of clinical characteristics on risk and prognosis of synchronous brain metastases in small-cell lung cancer patients: A population-based study.

Gang Zhou, Zhiyuan Zhang, Peng Yu, Ruixuan Geng, Guige Wang, Wenbin Ma, Jun Gao, Zhibo Zheng, Yongning Li

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Gang ZhouDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0003-3640-9302
Zhiyuan ZhangDepartment of International Medical Services, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Peng YuDepartment of International Medical Services, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Ruixuan GengDepartment of International Medical Services, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Guige WangDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Wenbin MaDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Jun GaoDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Zhibo ZhengDepartment of International Medical Services, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Yongning LiDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with small-cell lung cancer (SCLC) have a high incidence of synchronous brain metastases (SBM) and a poor prognosis, which causes a heavy burden of morbidity and mortality. A better understanding of the demographic and tumor-specific characteristics of these patients is critical to guiding clinical practice. The purpose of this study was to investigate the predictive and prognostic value of the clinical characteristics of SCLC patients with SBM at initial diagnosis.

methodsThis is a retrospective study based on the data in the latest Surveillance, Epidemiology, and End Results (SEER) version which was released in 2021 for patients diagnosed with SCLC in the presence or absence of SBM from 2010 to 2018. Multivariable logistic regression was performed to identify predictors of the presence of SBM at the initial diagnosis. Kaplan-Meier curves and multivariable Cox regression models were built to compare the prognosis of patients with different clinical characteristics and treatments.

resultsA total of 33,169 SCLC patients were enrolled in this study, including 5711 (17.2%) patients with SBM and 27,458 (82.8%) patients without SBM. Patients who are black(HR = 1.313, 95% CI = 1.167-1.478, p < 0.001), higher T stage (T2, HR = 1.193, 95%CI = 1.065-1.348, p = 0.005; T3, HR = 1.169, 95%CI = 1.029-1.327, p = 0.016; T4, HR = 1.259, 95%CI = 1.117-1.418, p < 0.001), lung metastases (HR = 1.434, 95%CI = 1.294-1.588, p < 0.001) and bone metastases (HR = 1.311, 95% CI = 1.205-1.426, p < 0.001) had greater odds of SBM at initial diagnosis. The median overall survival (OS) for SCLC patients with SBM was 5.0 months. Multivariable Cox regression revealed that age ≥ 65 (HR = 1.164, 95% CI = 1.086-1.247, p < 0.025), singled (HR = 1.095, 95% CI = 1.020-1.174, p = 0.012), higher T stage (T3, HR = 1.265, 95% CI = 1.123-1.425, p < 0.001; T4, HR = 1.192, 95% CI = 1.066-1.332, p = 0.002), higher N stage (N2, HR = 1.347, 95%CI = 1.214-1.494, p < 0.001; N3, HR = 1.452, 95%CI = 1.292-1.632, p < 0.001), liver metastases (HR = 1.415, 95%CI = 1.306-1.533, p < 0.001), and bone metastases (adjusted HR = 1.126, 95%CI = 1.039-1.221, p = 0.004). Analysis of treatment regimens showed that patients who received combinational treatment exhibited longer OS than chemotherapy or radiotherapy alone, and surgery combined with chemotherapy and radiotherapy exhibited the longest OS.

conclusionsIn this study, we identified risk factors for SBM in SCLC patients and prognostic indicators among this patient population. We also found that patients who received different therapeutic strategies exhibited significant difference on OS, which will provide evidence-based support for treatment options.

Indexed as

Bone NeoplasmsBrain NeoplasmsLung NeoplasmsSmall Cell Lung CarcinomaHumansPrognosisRetrospective Studiesprognosisrisk factorsSEERsmall cell lung cancersynchronous brain metastases

Identifiers

PMID35831985
PMCPMC9883432
OpenAlexW4285393362

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LicenceCC BY
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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.