Evidence map›Paper›PMID 37401075›Full record

ArticleNeurospine2023

Overall Survival of Non-Small Cell Lung Cancer With Spinal Metastasis: A Systematic Review and Meta-Analysis.

Fon-Yih Tsuang, Jin Pyeong Jeon, An-Ping Huang, Chung Liang Chai

Abstract read
In one paragraph

Article in Neurospine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

4 authors.

Fon-Yih TsuangDivision of Neurosurgery, Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Jin Pyeong JeonDepartment of Neurosurgery, Hallym University College of Medicine, Chuncheon, Korea.
An-Ping HuangDivision of Neurosurgery, Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Chung Liang ChaiDepartment of Neurosurgery, Yee Zen General Hospital, Taoyuan, Taiwan.

Funding

Good Liver FoundationTaiwan Brain Disease Foundation MS476
6 · The paper itself

Abstract

objectiveThe long-term survival data of lung cancer patients with spinal metastases are crucial for informed treatment decision-making. However, most studies in this field involve small sample sizes. Moreover, survival benchmarking and an analysis of changes in survival over time are required, but data are unavailable. To meet this need, we performed a metaanalysis of survival data from small studies to obtain a survival function based on largescale data.

methodsWe performed a single-arm systematic review of survival function following a published protocol. Data of patients who received surgical, nonsurgical, and mixed modes of treatment were meta-analyzed separately. Survival data were extracted from published figures with a digitizer program and then processed in R. Median survival time was used as an effect size for moderator analysis to explain the heterogeneity.

resultsSixty-two studies with 5,242 participants were included for pooling. The survival functions showed a median survival of 6.72 months for surgery (95% confidence interval [CI], 61.9-7.01; 2,367 participants; 36 studies), 5.99 months for nonsurgery (95% CI, 5.33-6.47; 891 participants; 12 studies), and 5.96 months for mixed (95% CI, 5.67-6.43; 1,984 participants; 18 studies). Patients enrolled since 2010 showed the highest survival rates.

conclusionThis study provides the first large-scale data for lung cancer with spinal metastasis that allows survival benchmarking. Data from patients enrolled since 2010 had the best survival and thus may more accurately reflect current survival. Researchers should focus on this subset in future benchmarking and remain optimistic in the management of these patients.

Indexed as

CarcinomaMetastasisNon-small cell lungSpineSurvival analysis

Identifiers

PMID37401075
PMCPMC10323357

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.