Evidence mapPaperPMID 33267884Full record

ArticleBMC medicine2020

Choice across 10 pharmacologic combination strategies for type 2 diabetes: a cost-effectiveness analysis.

Shuyan Gu, Lizheng Shi, Hui Shao, Xiaoyong Wang, Xiaoqian Hu, Yuxuan Gu, Hengjin Dong

Abstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Pooled it
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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

7 authors.

Shuyan GuCenter for Health Policy and Management Studies, School of Government, Nanjing University, Nanjing, Jiangsu, China.
Lizheng ShiDepartment of Global Health Management and Policy, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hui ShaoDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Xiaoyong WangHealth Insurance Office, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Xiaoqian HuCenter for Health Policy Studies, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yuxuan GuCenter for Health Policy Studies, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Hengjin DongCenter for Health Policy Studies, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China. donghj@zju.edu.cn.ORCID 0000-0002-5064-7297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical guidelines recommend a stepped-escalation treatment strategy for type 2 diabetes (T2DM). Across multiple treatment strategies varying in efficacy and costs, no clinical or economic studies directly compared them. This study aims to estimate and compare the cost-effectiveness of 10 commonly used pharmacologic combination strategies for T2DM.

methodsBased on Chinese guideline and practice, 10 three-stepwise add-on strategies were identified, which start with metformin, then switch to metformin plus one oral drug (i.e., sulfonylurea, thiazolidinedione, α-glucosidase inhibitor, glinide, or DPP-4 inhibitor) as second line, and finally switch to metformin plus one injection (i.e., insulin or GLP-1 receptor agonist) as third line. A cohort of 10,000 Chinese patients with newly diagnosed T2DM was established. From a healthcare system perspective, the Cardiff model was used to estimate the cost-effectiveness of the strategies, with clinical data sourced from a systematic review and indirect treatment comparison of 324 trials, costs from claims data of 1164 T2DM patients, and utilities from an EQ-5D study. Outcome measures include costs, quality-adjusted life-years (QALYs), incremental cost-effectiveness ratios (ICERs), and net monetary benefits (NMBs).

resultsOver 40-year simulation, the costs accumulated for a patient ranged from $7661 with strategy 1 to $14,273 with strategy 10, while the QALY gains ranged from 13.965 with strategy 1 to 14.117 with strategy 8. Strategy 7 was dominant over seven strategies (strategies 2~6, 9~10) with higher QALYs but lower costs. Additionally, at a willingness-to-pay threshold of $30,787/QALY (i.e., 3 times GDP/capita for China), strategy 7 was cost-effective compared with strategy 1 (ICER of strategy 7 vs. 1, $3371/QALY) and strategy 8 (ICER of strategy 8 vs. 7, $132,790/QALY). Ranking the strategies by ICERs and NMBs, strategy 7 provided the best value for money when compared to all other strategies, followed by strategies 5, 9, 8, 1, 3, 6, 10, 2, and 4. Scenario analyses showed that patients insist on pharmacologic treatments increased their QALYs (0.456~0.653) at an acceptable range of cost increase (ICERs, $1450/QALY~$12,360/QALY) or even at cost saving compared with those not receive treatments.

conclusionsThis study provides evidence-based references for diabetes management. Our findings can be used to design the essential drug formulary, infer clinical practice, and help the decision-maker design reimbursement policy.

Indexed as

Cost-Benefit AnalysisDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsMaleMiddle AgedHypoglycemic AgentsCost-effectivenessDPP-4 inhibitorGlinideGLP-1 receptor agonistInsulinMetforminSulfonylureaThiazolidinedioneType 2 diabetesα-Glucosidase inhibitor

Identifiers

PMID33267884
PMCPMC7713153

What Socratic holds

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LicenceCC BY
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Registered trials

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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.