Evidence map›Paper›PMID 26376655›Full record

ArticleJournal of neuro-oncology2015

Accuracy of Tokuhashi score system in predicting survival of lung cancer patients with vertebral metastasis.

Wenxi Yu, Lina Tang, Feng Lin, Yang Yao, Zan Shen

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. The revised Tokuhashi score; analysis of parameters and assessment of its accuracy in determining survival in patients afflicted with spinal metastasis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2018
    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

5 authors.

Wenxi YuDepartment of Oncology, Shanghai Jiaotong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Xuhui District, Shanghai, 200233, People's Republic of China.
Lina TangDepartment of Oncology, Shanghai Jiaotong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Xuhui District, Shanghai, 200233, People's Republic of China.
Feng LinDepartment of Oncology, Shanghai Jiaotong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Xuhui District, Shanghai, 200233, People's Republic of China.
Yang YaoDepartment of Oncology, Shanghai Jiaotong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Xuhui District, Shanghai, 200233, People's Republic of China.
Zan ShenDepartment of Oncology, Shanghai Jiaotong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Xuhui District, Shanghai, 200233, People's Republic of China. sshenzzan@vip.sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controversy exists in the accuracy of Tokuhashi score (TS) system in predicting survival of patients with vertebral metastasis, including vertebral metastases from primary lung cancer. To calculate the accuracy of the TS in predicting survival of lung cancer patients with vertebral metastasis and investigate which subgroup's survival is suitable for TS to predict, we conduct this retrospective study. From January 2008 to December 2013, 151 patients with vertebral metastases from primary lung cancer in our institute were included. The data were censored at December 2014. Patients were classified according to TS. The actual and predicted survivals were compared to calculate the accuracy rate. Spearman's correlation analysis was conducted to explore the relation between overall survival and TS. Cox regression was carried out to investigate potential factors affecting prognosis. Only 8.6 % (13 patients) actually followed the survivorship pattern as predicted by the TS. Spearman's correlation analysis demonstrated that actual overall survival correlated significantly with the TS. Cox model indicated that status of visceral metastases (i.e., none, involved with lung, involved with extrapulmonary organ) and response to first-time systemic therapy (effective or not) are associated significantly with overall survival. For patients with visceral metastases and progression to first-time systemic therapy simultaneously, predicted survival by TS and actual survival matched well. TS could only predict survival accurately in those with visceral metastases and disease progression to first-time systemic therapy simultaneously. Thus, it may not be a reliable tool to predict survival in lung cancer patients with vertebral metastasis. Status of visceral metastases and response to first-time systemic therapy should be added into TS system to increase validity and accuracy.

Indexed as

Survival AnalysisAdultAgedFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsRetrospective StudiesSeverity of Illness IndexSpinal NeoplasmsTime FactorsLung cancerSurvivalTokuhashi scoreVertebral metastasis

Identifiers

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Read underepoch 390

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.