Evidence map›Paper›PMID 36203427›Full record

ArticleFrontiers in oncology2022

The burden of cervical cancer in China.

Xiu Shen, Yiquan Cheng, Fupeng Ren, Zhilong Shi

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  15. Efficacy Analysis of Neoadjuvant versus Adjuvant Cisplatin-Paclitaxel Regimens for Initial Treatment of FIGO Stages IB3 and IIA2 Cervical Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  16. Review
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.

Xiu ShenDepartment of Hematology and Oncology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China.
Yiquan ChengDepartment of Hematology and Oncology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China.
Fupeng RenDepartment of Hematology and Oncology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China.
Zhilong ShiDepartment of Hematology and Oncology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Trends in the incidence, disability-adjusted life-years (DALYs), and mortality rate of cervical cancer remain unknown. Methods: The average annual percent changes (AAPCs) and relative risks (RR) in the incidence, DALYs, and mortality rate were determined using a joinpoint regression analysis; the net age, period, and cohort effects on above rates were evaluated. Results: A significant increase in age-standardized incidence (AAPC, 0.9%; 95CI: 0.8, 1.1) but significant decreases in age-standardized DALYs (AAPC, -0.4%; 95%CI: -0.60, -0.20) and the mortality rate (AAPC, -0.4%; 95CI: -0.6, -0.3) were observed. As for age-specific rates, the incidence was higher in younger age groups, and the DALYs and mortality rate were lower in older age groups. The effects of age included a slight but significant increase in the RR with advancing age from 35 to 94 years; the period effect included a significant increase in the incidence over the 2005-2019 periods; and the cohort effect included a substantial increase in the incidence from earlier to later birth cohorts. Conclusions: The incidence of cervical cancer increased from 1990 to 2019, particularly in younger age groups, and the DALYs and mortality rate decreased in the older age groups. Furthermore, the incidence increased with age, period, and cohort.

Indexed as

cervical cancerdisability-adjusted life-years (DALYs)incidencemortalitytrends

Identifiers

PMID36203427
PMCPMC9530827

What OpenQuestion holds

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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.