Evidence map›Paper›PMID 31313500›Full record

SynthesisCancer medicine2019

Assessment on clinical value of prostate health index in the diagnosis of prostate cancer.

Guangying Zhang, Yanyan Li, Chao Li, Na Li, Zhanzhan Li, Qin Zhou

Abstract readMeta-Analysis
In one paragraph

Synthesis in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 5 pooled it
–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

8 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. 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

6 authors.

Guangying ZhangDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, China.
Yanyan LiDepartment of Outpatient, Xiangya Hospital, Central South University, Changsha, China.
Chao LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, China.
Na LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, China.
Zhanzhan LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, China.
Qin ZhouDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-5003-161X

Funding

Hunan Department of Science and Technology Foundation China 2015JC3026
6 · The paper itself

Abstract

In this study, we performed a comprehensive estimation and assessment for the clinical value of prostate health index (PHI) in diagnosing prostate cancer. Using the bivariate mixed-effect model, we calculated the following parameters and their 95% confidence internals (CIs), including sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and symmetric receiver operator characteristic. Twenty eligible studies with a total number of 5543 subjects were included in the final analysis. The estimated sensitivity was 0.75 (95% CI: 0.70-0.79) and the specificity was 0.69 (95% CI: 0.58-0.83). The pooled area under the curve was 0.78 (95% CI: 0.74-0.81). The combined positive likelihood ratio was 2.45 (95% CI: 2.19-2.73) and the negative likelihood ratio was 0.36 (95% CI: 0.31-0.43). The diagnostic odds ratio was 6.73 (95% CI: 5.38-8.44). The posttest probability was 40% under the present positive likelihood ratio of 2.45. It seems there was no significant difference between Asian population and Caucasian population population in sensitivity and specificity. But the overlap of AUC 95% CI indicated that the diagnostic accuracy of PHI was slightly higher in the Asian population population setting than that in the Caucasian population population population (0.83 vs 0.76). Similarly, there was also overlap in AUC 95% CI, which suggested that sample size may be one of heterogeneity source. The PHI has a moderate diagnostic accuracy for detecting prostate cancer. The discrimination ability of PHI is slightly prior to free/total prostate-specific antigen. It seems that ethnicity has an influence on the clinical value of PHI in the diagnostic of prostate cancer.

Indexed as

BiomarkersArea Under CurveBiomarkers, TumorBiopsyHumansMalePrognosisProstateProstatic NeoplasmsPublication BiasReproducibility of ResultsROC CurveSeverity of Illness IndexBiomarkersBiomarkers, Tumorprostate cancerprostate health indexsensitivityspecificity

Identifiers

PMID31313500
PMCPMC6718540

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.