Evidence map›Paper›PMID 27812299›Full record

ReviewBiochemia medica2016

On determining the most appropriate test cut-off value: the case of tests with continuous results.

Farrokh Habibzadeh, Parham Habibzadeh, Mahboobeh Yadollahie

Abstract readReview
In one paragraph

Review in Biochemia medica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 344 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
344citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  5. Pooled it
  6. Trial
  7. Article
  8. Review
  9. Differentiating high- and low-grade serous ovarian carcinoma using radiomics: a pilot study.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
    Observational
  10. Article
  11. Article
  12. Article
  13. Determining the quality of life-aged care consumer threshold to identify good quality of life in older adults in long-term care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  14. Review
  15. Article
  16. Developing and validating ultrasound-based machine-learning models incorporating radiomics features to predict malignancy in adnexal masses.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
    Observational
  17. Radiomics-based ultrasOund Model for differentiating Uterine Sarcomas from leiomyomas (ROMUS): a retrospective pilot Multicenter Italian Trials in Ovarian Cancer (MITO) study.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
    Observational
  18. Article
  19. Observational
  20. Article

284 more citing papers are in PubMed but not listed here.

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.

Farrokh HabibzadehAdjunct Professor, Shiraz University of Medical Sciences, Shiraz, Iran,; R&D Headquarters, Petroleum Industry Health Organization, Shiraz, Iran.
Parham HabibzadehStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Mahboobeh YadollahieR&D Headquarters, Petroleum Industry Health Organization, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are several criteria for determination of the most appropriate cut-off value in a diagnostic test with continuous results. Mostly based on receiver operating characteristic (ROC) analysis, there are various methods to determine the test cut-off value. The most common criteria are the point on ROC curve where the sensitivity and specificity of the test are equal; the point on the curve with minimum distance from the left-upper corner of the unit square; and the point where the Youden's index is maximum. There are also methods mainly based on Bayesian decision analysis. Herein, we show that a proposed method that maximizes the weighted number needed to misdiagnose, an index of diagnostic test effectiveness we previously proposed, is the most appropriate technique compared to the aforementioned ones. For determination of the cut-off value, we need to know the pretest probability of the disease of interest as well as the costs incurred by misdiagnosis. This means that even for a certain diagnostic test, the cut-off value is not universal and should be determined for each region and for each disease condition.

Indexed as

DiagnosisBayes TheoremHumansROC CurveSensitivity and Specificitydiagnostic testsprevalenceROC curvesensitivityspecificity

Identifiers

PMID27812299
PMCPMC5082211

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.