Evidence map›Paper›PMID 23842037›Full record

SynthesisImplementation science : IS2013

Guidelines for guideline developers: a systematic review of grading systems for medical tests.

Gowri Gopalakrishna, Miranda W Langendam, Rob J P M Scholten, Patrick M M Bossuyt, Mariska M G Leeflang

Abstract readComparative StudySystematic Review
In one paragraph

Synthesis in Implementation science : IS, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Evidence synthesis and guideline development in genomic medicine: current status and future prospects.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Article
  11. Review
  12. Exploring the Evidence Base Behind Quality Measures.American journal of medical quality : the official journal of the American College of Medical Quality
    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

5 authors.

Gowri GopalakrishnaDepartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. g.gopalakrishna@amc.uva.nl
Miranda W Langendam
Rob J P M Scholten
Patrick M M Bossuyt
Mariska M G Leeflang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA variety of systems have been developed to grade evidence and develop recommendations based on the available evidence. However, development of guidelines for medical tests is especially challenging given the typical indirectness of the evidence; direct evidence of the effects of testing on patient important outcomes is usually absent. We compared grading systems for medical tests on how they use evidence in guideline development.

methodsWe used a systematic strategy to look for grading systems specific to medical tests in PubMed, professional guideline websites, via personal correspondence, and handsearching back references of key articles. Using the Appraisal of Guidelines for Research and Evaluation (AGREE) instrument as a starting point, we defined two sets of characteristics to describe these systems: methodological and process ones. Methodological characteristics are features relating to how evidence is gathered, appraised, and used in recommendations. Process characteristics are those relating to the guideline development process. Data were extracted in duplicate and differences resolved through discussion.

resultsTwelve grading systems could be included. All varied in the degree to which methodological and process characteristics were addressed. Having a clinical scenario, identifying the care pathway and/or developing an analytical framework, having explicit criteria for appraising and linking indirect evidence, and having explicit methodologies for translating evidence into recommendations were least frequently addressed. Five systems at most addressed these, to varying degrees of explicitness and completeness. Process wise, features most frequently addressed included involvement of relevant professional groups (8/12), external peer review of completed guidelines (9/12), and recommendations on methods for dissemination (8/12). Characteristics least often addressed were whether the system was piloted (3/12) and funder information (3/12).

conclusionsFive systems for grading evidence about medical tests in guideline development addressed to differing degrees of explicitness the need for and appraisal of different bodies of evidence, the linking of such evidence, and its translation into recommendations. At present, no one system addressed the full complexity of gathering, assessing and linking different bodies of evidence.

Indexed as

Diagnostic Techniques and ProceduresPractice Guidelines as TopicEvidence-Based MedicineHumans

Identifiers

PMID23842037
PMCPMC3716938

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.