Evidence map›Paper›PMID 34156972›Full record

SynthesisAging2021

Diagnostic accuracy of high

Chao Li, Na Li, Zhanzhan Li, Liangfang Shen

Abstract readMeta-Analysis
In one paragraph

Synthesis in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors.

Chao LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Na LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Zhanzhan LiDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.
Liangfang ShenDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province 410008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a meta-analysis to assess the diagnostic accuracy of high

Indexed as

Diffusion Magnetic Resonance ImagingAdultAgedAged, 80 and overHumansLikelihood FunctionsMaleMiddle AgedProstatic NeoplasmsPublication BiasRegression AnalysisROC Curvediagnostic accuracydiffusion-weighted imaginghigh b-valuemeta-analysisprostate cancer

Identifiers

PMID34156972
PMCPMC8266335

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.