Evidence map›Paper›PMID 26000636›Full record

ArticlePloS one2015

Use of the analytic hierarchy process for medication decision-making in type 2 diabetes.

Nisa M Maruthur, Susan M Joy, James G Dolan, Hasan M Shihab, Sonal Singh

Open access · goldFull text read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
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  7. Article
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  11. The Feasibility of Sophisticated Multicriteria Support for Clinical Decisions.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
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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 at 3 institutions in 1 country.

Nisa M MaruthurDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America; Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, United States of America.
Susan M JoyDepartment of Health Policy and Management, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
James G DolanDepartment of Public Health Sciences, University of Rochester, Rochester, New York, United States of America.
Hasan M ShihabDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Sonal SinghDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Johns Hopkins Medicine · USJohns Hopkins University · USUniversity of Rochester · US

Funding

Multi-criteria Clinical Decision Support: A Comparative EvaluationK24HL093488 · NHLBI · UNIVERSITY OF ROCHESTER · PI DOLAN, JAMES G · 2009 to 2013
$858k
NHLBI NIH HHS K24 HL093488
6 · The paper itself

Abstract

aimTo investigate the feasibility and utility of the Analytic Hierarchy Process (AHP) for medication decision-making in type 2 diabetes.

methodsWe conducted an AHP with nine diabetes experts using structured interviews to rank add-on therapies (to metformin) for type 2 diabetes. During the AHP, participants compared treatment alternatives relative to eight outcomes (hemoglobin A1c-lowering and seven potential harms) and the relative importance of the different outcomes. The AHP model and instrument were pre-tested and pilot-tested prior to use. Results were discussed and an evaluation of the AHP was conducted during a group session. We conducted the quantitative analysis using Expert Choice software with the ideal mode to determine the priority of treatment alternatives.

resultsParticipants judged exenatide to be the best add-on therapy followed by sitagliptin, sulfonylureas, and then pioglitazone. Maximizing benefit was judged 21% more important than minimizing harm. Minimizing severe hypoglycemia was judged to be the most important harm to avoid. Exenatide was the best overall alternative if the importance of minimizing harms was prioritized completely over maximizing benefits. Participants reported that the AHP improved transparency, consistency, and an understanding of others' perspectives and agreed that the results reflected the views of the group.

conclusionsThe AHP is feasible and useful to make decisions about diabetes medications. Future studies which incorporate stakeholder preferences should evaluate other decision contexts, objectives, and treatments.

Indexed as

Decision Support TechniquesDecision MakingDiabetes Mellitus, Type 2ExenatideGlycated HemoglobinHumansHypoglycemic AgentsMetforminPeptidesVenomsExenatideGlycated HemoglobinHypoglycemic AgentsMetforminPeptidesVenoms

Identifiers

PMID26000636
PMCPMC4441461
OpenAlexW218292613

What OpenQuestion holds

Textfull text, public
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.