Evidence map›Paper›PMID 36263229›Full record

ArticleFrontiers in oncology2022

Longitudinal analysis of ovarian cancer death patterns during a rapid transition period (2005-2020) in Shanghai, China: A population-based study.

Xiaopan Li, Mo Zhang, Yichen Chen, Huihui Lv, Yan Du

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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
  2. Article
  3. Observational
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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

5 authors.

Xiaopan LiDepartment of Health Management Center, Zhongshan Hospital, Shanghai Medical College of Fudan University, Shanghai, China.
Mo ZhangClinical Research Unit, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Yichen ChenOffice of Scientific Research and Information Management, Center for Disease Control and Prevention & Pudong Institute of Preventive Medicine, Pudong New Area, Shanghai, China.
Huihui LvYueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yan DuClinical Research Unit, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: It is important to assess the burden of ovarian cancer related premature death so as to develop appropriate evidence-based care and improve women's health. This study aimed to characterize the long-term trends in mortality, survival and disease burden of ovarian cancer in Shanghai, China. Materials and Methods: Co-morbidities, crude mortality rate (CMR), age-standardised mortality rate by Segi's world standard population (ASMRW), years of life lost (YLL), and survival rates were analysed. Temporal trends for the mortality rates and disease burden were analyzed using the Joinpoint Regression Program. Mortality rate increases by demographic and non-demographic factors were estimated by the decomposition method. Results: A total of 1088 ovarian cancer as underlying cause of deaths were recorded. CMR and ASMRW were 4.82/10 Conclusions: Population ageing and all cause of death may affect ovarian cancer related deaths in Pudong, Shanghai. The high mortality and the stagnant survival rates suggest the need for more efforts in targeted prevention and treatment of this disease.

Indexed as

all cause of deathdecomposition methodmortalityovarian cancertrend analysisunderlying cause of deathyears of life lost

Identifiers

PMID36263229
PMCPMC9574098

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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.