Evidence map›Paper›PMID 24009950›Full record

ReviewCaspian journal of internal medicine2013

Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation.

Karimollah Hajian-Tilaki

Registry-linked trialAbstract readReview
PubMed Full text at PMC
In one paragraph

Review in Caspian journal of internal medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07109206 (Cardio-circulatory and Respiratory Monitoring for Prediction of Outcome in Mechanically Ventilated Chronic Obstructive Pulmonary Disease Patients), which is not on this map. Cited by 1,150 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,150citing 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.

NCT07109206 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Cardio-circulatory and Respiratory Monitoring for Prediction of Outcome in Mechanically Ventilated Chronic Obstructive Pulmonary Disease Patients

TypeobservationalSponsorAssiut UniversityRan2025 to 2028Enrolled104ConditionsCOPD (Chronic Obstructive Pulmonary Disease), Cardiometry, Weaning Invasive Mechanical Ventilation
3 · Its place in the literature

Who cites it

1,150 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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1,090 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

1 author.

Karimollah Hajian-TilakiDepartment of Social Medicine and Health, Babol University of Medical Sciences, Babol, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review provides the basic principle and rational for ROC analysis of rating and continuous diagnostic test results versus a gold standard. Derived indexes of accuracy, in particular area under the curve (AUC) has a meaningful interpretation for disease classification from healthy subjects. The methods of estimate of AUC and its testing in single diagnostic test and also comparative studies, the advantage of ROC curve to determine the optimal cut off values and the issues of bias and confounding have been discussed.

Indexed as

Area under the curve (AUC)BiasNonparametricParametricROC curveSensitivitySpecificity

Identifiers

PMID24009950
PMCPMC3755824

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.