Evidence map›Paper›PMID 31483834›Full record

ArticlePloS one2019

Effect of time interval from diagnosis to treatment for cervical cancer on survival: A nationwide cohort study.

Chao-Ping Chen, Pei-Tseng Kung, Yueh-Hsin Wang, Wen-Chen Tsai

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Chao-Ping ChenDepartment of Health Services Administration, China Medical University, Taichung, Taiwan, R.O.C.
Pei-Tseng KungDepartment of Healthcare Administration, Asia University, Taichung, Taiwan, R.O.C.
Yueh-Hsin WangDepartment of Health Services Administration, China Medical University, Taichung, Taiwan, R.O.C.
Wen-Chen TsaiDepartment of Health Services Administration, China Medical University, Taichung, Taiwan, R.O.C.ORCID 0000-0002-9684-0789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDespite the ease of health care access and the waiver of copayments for cancer patients, treatment is delayed in a small proportion of Taiwanese patients diagnosed with cervical cancer. In this study, we explored the relationship between the time interval from diagnosis to treatment and survival in cervical cancer patients. MATERIAL AND

methodsThe study was a retrospective population-based observational study conducted between 2004 and 2010. In Taiwan, 12,020 patients were newly diagnosed with cervical cancer from 2004 to 2010, and 9,693 patients (80.6%) were enrolled in our final analysis.

resultsMost of the patients received treatment within 90 days of diagnosis (n = 9,341, 96.37%). After adjustment for other variables, patients who received treatment between 90 and 180 days and >180 days after diagnosis had a 1.33 (95% CI: 1.02-1.72, P < 0.05) and 1.36 (95% CI: 1.12-1.65, P < 0.05) times higher risk of death, respectively, than those who received treatment within 90 days. Kaplan-Meier analysis showed that the patients treated after 90 days from diagnosis had a lower overall survival rate than those treated within 90 days. In analysis stratifying the patients according to their initial tumor stage, namely stages I and II and stage III and IV, the time interval from diagnosis to treatment remained a significant prognosticator in those who received treatment >180 days after diagnosis.

conclusionA longer interval between diagnosis and treatment is associated with poorer prognosis among cervical cancer patients.

Indexed as

AdultAgedCohort StudiesFemaleHumansMiddle AgedRetrospective StudiesSurvival AnalysisTaiwanTime FactorsUterine Cervical Neoplasms

Identifiers

PMID31483834
PMCPMC6726236

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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.