Evidence map›Paper›PMID 31444309›Full record

ReviewClinical chemistry2019

Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes.

Alison F Smith, Bethany Shinkins, Peter S Hall, Claire T Hulme, Mike P Messenger

Abstract readReview
In one paragraph

Review in Clinical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

5 authors.

Alison F SmithTest Evaluation Group, Academic Unit of Health Economics, University of Leeds, Leeds, UK; A.F.C.Smith@leeds.ac.uk.
Bethany ShinkinsTest Evaluation Group, Academic Unit of Health Economics, University of Leeds, Leeds, UK.
Peter S HallCancer Research UK Edinburgh Centre, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Claire T HulmeTest Evaluation Group, Academic Unit of Health Economics, University of Leeds, Leeds, UK.
Mike P MessengerNIHR Leeds In Vitro Diagnostic (IVD) Co-operative, Leeds, UK.

Funding

Cancer Research UK C8640/A23385Department of Health DRF-2016-09-084Medical Research Council
6 · The paper itself

Abstract

backgroundFor medical tests that have a central role in clinical decision-making, current guidelines advocate CONTENT: A methodology review consisting of database searches and extensive citation tracking was conducted to identify studies using indirect methods to incorporate or evaluate the impact of test measurement uncertainty on downstream outcomes (including clinical accuracy, clinical utility, and/or costs). Eighty-two studies were identified, most of which evaluated the impact of imprecision and/or bias on clinical accuracy. A common analytical framework underpinning the various methods was identified, consisting of 3 key steps: (

conclusionsVarious approaches are available for conducting indirect assessments to inform outcome-based performance specifications. This study provides an overview of methods and key considerations to inform future studies and research in this area.

Indexed as

UncertaintyBiasClinical Laboratory TechniquesHumansOutcome Assessment, Health Care

Identifiers

PMID31444309
PMCPMC7055686

What Socratic 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 Socratic graph.