Evidence map›Paper›PMID 24353428›Full record

ArticleTherapeutics and clinical risk management2013

National Drug Formulary review of statin therapeutic group using the multiattribute scoring tool.

Azuana Ramli, Syed Mohamed Aljunid, Saperi Sulong, Faridah Aryani Md Yusof

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. An Annual Formulary Review Strategy Implemented by a Saudi Health System.P & T : a peer-reviewed journal for formulary management · 2016
    Article
  8. Article
  9. Article
  10. 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

4 authors at 2 institutions in 1 country.

Azuana RamliUnited Nations University International Institute for Global Health (UNU-IIGH), Kuala Lumpur, Malaysia ; Pharmaceutical Services Division, Ministry of Health, Petaling Jaya, Malaysia.
Syed Mohamed AljunidUnited Nations University International Institute for Global Health (UNU-IIGH), Kuala Lumpur, Malaysia ; International Centre for Casemix and Clinical Coding (ITCC), Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia.
Saperi SulongInternational Centre for Casemix and Clinical Coding (ITCC), Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia.
Faridah Aryani Md YusofPharmaceutical Services Division, Ministry of Health, Petaling Jaya, Malaysia.
Ministry of Health · MYUniversity Kebangsaan Malaysia Medical Centre · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHMG-CoA reductase inhibitors (statins) are extensively used in treating hypercholesterolemia. The statins available in Malaysia include atorvastatin, lovastatin, pravastatin, rosuvastatin, simvastatin, and fluvastatin. Over the years, they have accumulated in the National Drug Formulary; hence, the need for review. Effective selection of the best drugs to remain in the formulary can become complex due to the multiple drug attributes involved, and is made worse by the limited time and resources available. The multiattribute scoring tool (MAST) systematizes the evaluation of the drug attributes to facilitate the drug selection process. In this study, a MAST framework was developed to rank the statins based on their utilities or benefits.

methodsPublished literature on multicriteria decision analysis (MCDA) were studied and five sessions of expert group discussions were conducted to build the MAST framework and to review the evidence. The attributes identified and selected for analysis were efficacy (clinical efficacy, clinical endpoints), safety (drug interactions, serious side effects and documentation), drug applicability (drug strength/formulation, indications, dose frequency, side effects, food-drug interactions, and dose adjustments), and cost. The average weights assigned by the members for efficacy, safety, drug applicability and cost were 32.6%, 26.2%, 24.1%, and 17.1%, respectively. The utility values of the attributes were scored based on the published evidence or/and agreements during the group discussions. The attribute scores were added up to provide the total utility score.

resultsUsing the MAST, the six statins under review were successfully scored and ranked. Atorvastatin scored the highest total utility score (TUS) of 84.48, followed by simvastatin (83.11). Atorvastatin and simvastatin scored consistently high, even before drug costs were included. The low scores on the side effects for atorvastatin were compensated for by the higher scores on the clinical endpoints resulting in a higher TUS for atorvastatin. Fluvastatin recorded the lowest TUS.

conclusionThe multiattribute scoring tool was successfully applied to organize decision variables in reviewing statins for the formulary. Based on the TUS, atorvastatin is recommended to remain in the formulary and be considered as first-line in the treatment of hypercholesterolemia.

Indexed as

drug attributesdrug selectionmulticriteria decision analysisutility score

Identifiers

PMID24353428
PMCPMC3862646
OpenAlexW2020405005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.