Evidence map›Paper›PMID 35116544›Full record

ArticleTranslational cancer research2021

Diagnostic value of circulating cell-free DNA for renal cell carcinoma: a meta-analysis.

Yong Li, Peng Chen, Zhi Chen

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2021. 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
0.2field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
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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

3 authors at 2 institutions in 1 country.

Yong LiDepartment of Urology, The Second Affiliated Hospital, University of South China, Hengyang, China.
Peng ChenDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Zhi ChenDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Xiangya Hospital Central South University · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur meta-analysis was established for evaluating the diagnostic value of circulating cell-free DNA (cfDNA) in renal cell carcinoma (RCC) for the first time.

methodsThe whole relevant publications published by October 30, 2020 were searched based on multiple databases, including the PubMed, Web of Science, Embase, Cochrane Library and China National Knowledge Infrastructure (CNKI). Two major subgroups were investigated: the quantitative cfDNA analysis subgroup and the qualitative cfDNA analysis subgroup. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) as well as the area under the curve (AUC) were estimated to evaluate the diagnostic value.

resultsA total of eight qualified papers published between 2008 and 2020 were selected into this report. The pooled SEN, SPE, and DOR in quantitative analysis subgroup was 0.59 [95% confidence interval (95% CI): 0.55-0.63], 0.88 (95% CI: 0.85-0.91), 9.98 (95% CI: 5.64-17.69), yielding an AUC of 0.784. In the qualitative analysis subgroup, the corresponding value was 0.47 (95% CI: 0.43-0.52), 0.92 (95% CI: 0.88-0.94), 8.83 (95% CI: 5.64-13.84) and 0.774, respectively.

conclusionsCirculating cfDNA can be regarded as a hopeful diagnostic instrument in RCC. Larger multicenter sample studies are required to validate our conclusions further externally and to make this method more sensitive and specific.

Indexed as

circulating cell-free DNA (circulating cfDNA)diagnostic accuracymeta-analysismethylationRenal cell carcinoma (RCC)

Identifiers

PMID35116544
PMCPMC8799011
OpenAlexW3159849630

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.