ArticleMedicine2018
The prognostic impact of tumor length in esophageal cancer: Protocol for a systematic review and meta-analysis.
Article in Medicine, 2018. 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.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic impact of tumor length in esophageal Cancer: a systematic review and Meta-analysis.BMC cancer · 2021Pooled it
- Could tumour volume and major and minor axis based on CTA statistical anatomy improve the pre-operative T-stage in oesophageal cancer?Cancer medicine · 2023Article
- Competing risk nomogram to predict cancer-specific survival in esophageal cancer during the intensity-modulated radiation therapy era: A single institute analysis.Oncology letters · 2020Article
- Tumor Size as a Critical Prognostic Factor in T1-2 Stage Esophageal Cancer.Gastroenterology research and practice · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMore and more studies were performed to explore the prognostic role of tumor length in esophageal cancer (EC). However, the results remain controversial. Hence, the aim of the review was to evaluate the association between tumor length and oncologic outcome in EC patients through meta-analysis.
methodsA systematic literature search for relevant articles published in English language will be conducted in the PubMed, Web of Science, and Embase. Hazard ratio and 95% confidence intervals (CIs) will be employed as effect measures to estimate the correlation between tumor length and the oncologic outcomes including overall survival, disease-free survival, progression-free survival, relapse-free survival, and cancer-specific survival. We will use the software STATA 14.0 to perform the meta-analysis to calculate the data synthesis.
resultsThe review will provide a high-quality synthesis of current evidence of the prognostic role of tumor length in ECs. The results will be published in a peer-reviewed journal.
conclusionThis will be the first systematic review and meta-analysis to evaluate the prognostic role of tumor length in EC patients. The results will better predict EC survival and identify higher-risk patients for postoperative therapy. PROSPERO REGISTRATION NUMBER: This systematic review protocol has been registered in the PROSPERO network (No. CRD42018106851).
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Registered trials
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