Evidence map›Paper›PMID 37315054›Full record

SynthesisPloS one2023

Diagnostic accuracy of the Copenhagen Index in ovarian malignancy: A meta-analysis.

Huiling Liu, Shouye Ma, Xiaohong Chen, Huifang Wu, Rongrong Wang, Mengmeng Du, Xiazi Nie

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Huiling LiuObstetrics and Gynecology Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Shouye MaObstetrics and Gynecology Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.ORCID 0000-0003-1894-5064
Xiaohong ChenObstetrics and Gynecology Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Huifang WuObstetrics and Gynecology Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Rongrong WangObstetrics and Gynecology Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Mengmeng DuObstetrics and Gynecology Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Xiazi NieObstetrics and Gynecology Department, Gansu Provincial Hospital, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the diagnostic value of the Copenhagen index for ovarian malignancy.

methodsPubMed, Web of Science, the Cochrane Library, Embase, CBM, CNKI, and WanFang databases were searched throughout June 2021. Statistical analyses were performed using Stata 12, Meta-DiSc, and RevMan 5.3. The pooled sensitivity, specificity, and diagnostic odds ratio were calculated, the summary receiver operating characteristic curve was drawn, and the area under the curve was calculated.

resultsTen articles, including 11 studies with a total of 5266 patients, were included. The pooled sensitivity, specificity, and diagnostic odds ratio were 0.82 [95% CI (0.80-0.83)], 0.88 [95% CI (0.87-0.89)], and 57.31 [95% CI (32.84-100.02)], respectively. The area under the summary receiver operating characteristics curve and the Q index were 0.9545 and 0.8966, respectively.

conclusionOur systematic review shows that the sensitivity and specificity of the Copenhagen index are high enough for it to be used in a clinical setting to provide accurate ovarian cancer diagnosis without considering menopausal status.

Indexed as

LibrariesOvarian NeoplasmsDatabases, FactualFemaleGene LibraryHumans

Identifiers

PMID37315054
PMCPMC10266642

What OpenQuestion holds

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LicenceCC BY
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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.