Evidence map›Paper›PMID 16861864›Full record

ReviewAnnals of Saudi medicine

Towards evidence-based diagnosis in developing countries: the use of likelihood ratios for robust quick diagnosis.

Akbar Soltani, Alireza Moayyeri

Abstract readReview
In one paragraph

Review in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  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

2 authors.

Akbar SoltaniEvidence Based Medicine Working Team, Endocrinology and Metabolism Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Alireza Moayyeri

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence-based medicine (EBM), a relatively new paradigm for clinical practice, stresses the use of research evidence in diagnostic evaluations and therapeutic interventions. Financial and instrumental scarcities in developing countries require cliniciansto visit patients under time constraints, especially in outpatient clinical settings. In this situation, clinicians need diagnostic approaches that reduce both diagnostic time and errors. This article discusses what EBM can do to help physicians in this regard. For quick history taking and physical examination, all physicians utilize certain "key pointers" (signs or symptoms or paraclinical tests that influence the pretest estimation of the disease prevalence). EBM emphasizes that these key pointers are nothing but signs or symptoms with significant likelihood ratios. Likelihood ratios are a practical means of interpreting clinical tests; physicians can derive likelihood ratios from critically appraised studies. The use of clinical tests with sizeable likelihood ratios and with likelihood ratios for key pointers from independent body systems may significantly decrease both diagnostic time and errors. EBM could be a significant aid to physicians in the developing world.

Indexed as

DiagnosisEvidence-Based MedicineLikelihood FunctionsAmbulatory CareBayes TheoremDeveloping CountriesDiagnostic Techniques and ProceduresHumans

Identifiers

PMID16861864
PMCPMC6074451

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.