Evidence mapPaperPMID 39244536Full record

SynthesisHealth and quality of life outcomes2024

Health state utility values of type 2 diabetes mellitus and related complications: a systematic review and meta-regression.

Yubo Wang, Yueru Xu, Huiting Shan, Huimin Pan, Ji Chen, Jianhua Yang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Health and quality of life outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Yubo Wang *Department of Pharmacy, 1/F, Science and Technology Building, The First Affiliated Hospital of Xinjiang Medical University, No.137 Liyushan Road, Xinshi District, Urumqi, Xinjiang Uygur Autonomous Region, China.ORCID http://orcid.org/0000-0002-2686-8946
Yueru Xu *School of Pharmacy, Xinjiang Medical University, No.393 XinYi Road, Xinshi District, Urumqi, Xinjiang Uygur Autonomous Region, China.ORCID http://orcid.org/0009-0005-0857-3748
Huiting ShanDepartment of Pharmacy, 1/F, Science and Technology Building, The First Affiliated Hospital of Xinjiang Medical University, No.137 Liyushan Road, Xinshi District, Urumqi, Xinjiang Uygur Autonomous Region, China.ORCID http://orcid.org/0009-0002-8717-9412
Huimin PanDepartment of Pharmacy, 1/F, Science and Technology Building, The First Affiliated Hospital of Xinjiang Medical University, No.137 Liyushan Road, Xinshi District, Urumqi, Xinjiang Uygur Autonomous Region, China.ORCID http://orcid.org/0000-0002-6422-5167
Ji ChenDepartment of Pharmacy, 1/F, Science and Technology Building, The First Affiliated Hospital of Xinjiang Medical University, No.137 Liyushan Road, Xinshi District, Urumqi, Xinjiang Uygur Autonomous Region, China. chenji700318@163.com.ORCID http://orcid.org/0009-0008-2913-1799
Jianhua YangDepartment of Pharmacy, 1/F, Science and Technology Building, The First Affiliated Hospital of Xinjiang Medical University, No.137 Liyushan Road, Xinshi District, Urumqi, Xinjiang Uygur Autonomous Region, China. yjh_yfy@163.com.ORCID http://orcid.org/0009-0005-8527-3415

Funding

the Development Centre for Medical Science & Technology, National Health Commission of the People's Repulic of China WKZ2023CX210008
6 · The paper itself

Abstract

backgroundThis study aimed to synthesize and quantitatively examine Health State Utility Values (HSUVs) for Type 2 Diabetes Mellitus (T2DM) and its complications, providing a robust meta-regression framework for selecting appropriate HSUV estimates.

methodWe conducted a systematic review to extract HSUVs for T2DM and its complications, encompassing various influencing factors. Relevant literature was sourced from a review spanning 2000-2020, supplemented by literature from PubMed, Embase, and the Web of Science (up to March 2024). Multivariate meta-regression was performed to evaluate the impact of measurement tools, tariffs, health status, and clinical and demographic variables on HSUVs.

resultsOur search yielded 118 studies, contributing 1044 HSUVs. The HSUVs for T2DM with complications varied, from 0.65 for cerebrovascular disease to 0.77 for neuropathy. The EQ-5D-3L emerged as the most frequently employed valuation method. HSUV differences across instruments were observed; 15-D had the highest (0.89), while HUI-3 had the lowest (0.70) values. Regression analysis elucidated the significant effects of instrument and tariff choice on HSUVs. Complication-related utility decrement, especially in diabetic foot, was quantified. Age <70 was linked to increased HSUVs, while longer illness duration, hypertension, overweight and obesity correlated with reduced HSUVs.

conclusionAccurate HSUVs are vital for the optimization of T2DM management strategies. This study provided a comprehensive data pool for HSUVs selection, and quantified the influence of various factors on HSUVs, informing analysts and policymakers in understanding the utility variations associated with T2DM and its complications.

Indexed as

Diabetes Mellitus, Type 2Diabetes ComplicationsHealth StatusHumansQuality-Adjusted Life YearsQuality of LifeRegression AnalysisDiabetes mellitusEconomic evaluationHealth state utility valuesMeta-regressionSystematic review

Identifiers

PMID39244536
PMCPMC11380328

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.