Evidence map›Paper›PMID 32042804›Full record

ReviewAnnals of translational medicine2019

Suggestions for designing studies investigating diagnostic accuracy of biomarkers.

Man Zhang, Zhi-De Hu

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Noncoding RNome as Enabling Biomarkers for Precision Health.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. 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.

Man ZhangDepartment of Thoracic Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China.
Zhi-De HuDepartment of Laboratory Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of diagnostic test accuracy (DTA) studies concerning biomarkers have gradually increased during the past years. However, study designs remain imperfect, and the statistical methods used are not meaningful in some published studies. Here, we introduce recommendations for designing DTA studies, including consecutive enrollment of participants with uniform inclusion and exclusion criteria, blinded testing and interpretation, prespecified thresholds, and the use of one reference standard for all subjects. In addition, we also describe more relevant statistical methods in DTA studies, including decision curve analysis (DCA), nomograms, diagnostic model and scale, net reclassification index (NRI), and the integrated discriminatory index (IDI). This review may help clinicians to better design DTA studies that investigating biomarkers.

Indexed as

decision curve analysis (DCA)diagnostic modelDiagnostic test accuracy (DTA)nomogramstudy design

Identifiers

PMID32042804
PMCPMC6989996

What OpenQuestion holds

Textmetadata
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.