Evidence map›Paper›PMID 39434744›Full record

ArticleTranslational andrology and urology2024

Association between time to treatment and bladder cancer survival: a population-based analysis.

Xiaojie Hou, Nan Li, Lin Ruan, Xiaoguang Yao, Xiaole Feng, Xuekun Hou, Zefei Chu, Shuanlong Cui, Qiang Li

Abstract read
In one paragraph

Article in Translational andrology and urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Article
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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.

Xiaojie Hou *College of Acupuncture and Massage, Hebei University of Chinese Medicine, Shijiazhuang, China.
Nan Li *Department of Nephrology, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Lin RuanDepartment of Nephrology, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Xiaoguang YaoHebei Key Laboratory of Integrative Medicine on Liver-Kidney Patterns, College of Integrative Medicine, Institute of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang, China.
Xiaole FengHebei Key Laboratory of Integrative Medicine on Liver-Kidney Patterns, College of Integrative Medicine, Institute of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang, China.
Xuekun HouHebei Key Laboratory of Integrative Medicine on Liver-Kidney Patterns, College of Integrative Medicine, Institute of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang, China.
Zefei ChuHebei Key Laboratory of Integrative Medicine on Liver-Kidney Patterns, College of Integrative Medicine, Institute of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang, China.
Shuanlong Cui *Hebei Key Laboratory of Integrative Medicine on Liver-Kidney Patterns, College of Integrative Medicine, Institute of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang, China.
Qiang Li *Hebei Key Laboratory of Integrative Medicine on Liver-Kidney Patterns, College of Integrative Medicine, Institute of Integrative Medicine, Hebei University of Chinese Medicine, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer treatment delay is a global health system issue. However, data concerning the impact of treatment delays on survival in bladder cancer remain controversial. This study sought to evaluate the impact of time from diagnosis to treatment on survival outcomes of bladder cancer patients in the US Surveillance, Epidemiology, and End Results (SEER) database. Methods: The SEER was searched from 2000 to 2020 for bladder cancer patients. Logistical regression was used to explore potential factors related to treatment delay. Kaplan-Meier curves were generated to investigate the overall and cancer-specific survival. Multivariate Cox proportional hazards regression models were used to evaluate the effects of covariables on survival outcomes in bladder cancer with treatment delay. Results: There were 12,686 eligible patients included in this study. A total of 2,379 patients experienced an initial treatment delay. Initial treatment delay was related to worse survival. Sex, age, pathological grade, clinical stage, and surgery were associated with increased odds of initial treatment delay. In the patients with initial treatment delay, age, advanced stage, lymph node involvement, high pathological grades and metastasis were independent predictors of poor overall survival and cancer-specific survival, while marital status at diagnosis, surgery, chemotherapy, and radiotherapy were found to improve both overall survival and cancer-specific survival. Conclusions: Significant disparities in pathological/clinical variables could contribute to treatment delay. Surgery, chemotherapy, and radiotherapy benefited the survival of patients with treatment delays.

Indexed as

Bladder cancerprognosisrisk factorsurvivaltreatment delay

Identifiers

PMID39434744
PMCPMC11491207

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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.