Evidence map›Paper›PMID 35839008›Full record

SynthesisMedicine2022

The diagnostic accuracy of macrophage colony-stimulating factor for cervical cancer: A systematic review and meta-analysis.

Tiruneh Adane, Solomon Getawa

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

2 authors at 1 institution in 1 country.

Tiruneh AdaneDepartment of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0001-6597-5755
Solomon Getawa
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMacrophage colony-stimulating factor (M-CSF) overexpression in plasma levels serves as a useful predictor of carcinogenesis and poor prognosis. Thus, we aimed to investigate the diagnostic performance of M-CSF for cervical cancer.

methodsA comprehensive search of eligible studies was performed in PubMed/MEDLINE, Cochrane Library, Google Scholar, Scopus, Web of Science, and EMBASE published until October 2021. For statistical analysis, Meta-disc software is used. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, 95% confidence interval (CI), and the area under the curve were estimated. A P value <.05 was considered statistically significant.

resultsA total of 5 studies were included in this systematic review and meta-analysis. The result showed that the pooled sensitivity and specificity of M-CSF to diagnose cervical cancer were 70% (95% CI: 66%-74%) and 84% (95% CI: 80%-88%), respectively. The summary positive likelihood ratio and negative likelihood ratio were 4.41 (95% CI: 2.86-6.82) and 0.36 (95% CI: 0.29-0.45), respectively. The area under the curve of the summary receiver operating characteristic curve was 0.86 (95% CI: 0.83-0.88), indicating the excellent diagnostic performance of M-CSF for cervical cancer.

conclusionsThe results of this study showed that M-CSF has diagnostic value for the early detection of cervical cancer. As a result, M-CSF can be utilized in conjunction with existing test platforms to diagnose cervical cancer.

Indexed as

Macrophage Colony-Stimulating FactorUterine Cervical NeoplasmsFemaleHumansOdds RatioROC CurveSensitivity and SpecificityMacrophage Colony-Stimulating Factor

Identifiers

PMID35839008
PMCPMC11132362
OpenAlexW4285594235

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.