Evidence map›Paper›PMID 39681944›Full record

ArticleBMC global and public health2024

Population-level impact of weight loss on predicted healthcare spending and the incidence of obesity-related outcomes in the Asia-Pacific region: a modelling study.

Joanne Yoong, Volker Schnecke, Wichai Aekplakorn, Tushar Bandgar, Jamal Rashad Butt, Jack Garcia Uranga Romano, Sanjay Kalra, Rajesh Khadgawat, Gary Kilov, Kyoung-Kon Kim and 4 more

Abstract read
In one paragraph

Article in BMC global and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

14 authors.

Joanne YoongResearch for Impact, 378 Alexandra Road, Block 29, Level 2, Singapore, 159964, Singapore. joanne@rforimpact.com.
Volker SchneckeNovo Nordisk A/S, Søborg, Denmark.
Wichai AekplakornDepartment of Community Medicine, Faculty of Medicine, Mahidol University, Ramathibodi Hospital, Bangkok, Thailand.
Tushar BandgarDepartment of Endocrinology, Seth GS Medical College and KEM Hospital, Mumbai, India.
Jamal Rashad ButtNovo Nordisk Pharma Gulf FZE, Dubai, United Arab Emirates.
Jack Garcia Uranga RomanoNovo Nordisk Pharma Gulf FZE, Dubai, United Arab Emirates.
Sanjay KalraDepartment of Endocrinology, Bharti Hospital, Karnal, India.
Rajesh KhadgawatDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
Gary KilovDepartment of General Practice, University of Melbourne, Parkville, Victoria, Australia.
Kyoung-Kon KimDepartment of Family Medicine, Gachon University College of Medicine, Gachon University Gil Medical Center, Incheon, South Korea.
Sang Yeoup LeeDepartment of Family Medicine, Pusan National University Yangsan Hospital and Department of Medical Education, Pusan National University School of Medicine, Yangsan, South Korea.
Viswanathan MohanMadras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India.
Joseph ProiettoDepartment of General Practice, University of Melbourne, Parkville, Victoria, Australia.
Brian OldfieldDepartment of Physiology, Faculty of Biomedical and Psychological Sciences, Monash Biomedicine Discovery Institute, Clayton, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Asia-Pacific (APAC) region includes a significant proportion of the global population currently living with overweight and obesity. This modelling analysis was conducted to quantify the incidence of obesity-related comorbidities and change in obesity-related costs over 10 years with a hypothetical 10% weight loss in Australia, South Korea, Thailand, and India.

methodsAn epidemiological-economic model was used to describe current prevalence and direct medical costs of ten obesity-related comorbidities, including type 2 diabetes and hypertension, in adults aged 20-69 years living with obesity, and estimate incidence and costs over 10 years. Incidence reduction and the associated savings by 2032 were then estimated for a 10% weight-loss scenario.

resultsThe total estimated medical costs for the ten obesity-related comorbidities in 2022 were 2.9, 7.5, 10.2, and 23.3 billion USD in Australia, South Korea, Thailand, and India, respectively. Costs increase to 6.9, 18.4, 23.5, and 44.3 billion USD in 2032, if insufficient action is taken. A 10% weight reduction would result in estimated savings of 0.3, 1.2, 2.2, and 3.0 billion USD in Australia, South Korea, Thailand, and India, respectively, in 2032, with cumulative savings over the 10-year period of 1.8, 7.0, 13.0, and 17.4 billion USD. Incidence of comorbidities were estimated to rise less in the weight-loss scenario.

conclusionsThe financial, societal, and health benefits of a substantial but achievable 10% weight loss in adults living with obesity, and the consequences of insufficient action, are pronounced in the APAC region. To achieve sustained weight loss in the real world, policy actions for addressing barriers to obesity management are required.

Indexed as

Asia-PacificHealthcare costObesityObesity comorbidityPolicyWeight loss

Identifiers

PMID39681944
PMCPMC11622925

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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 OpenQuestion graph.