Evidence map›Paper›PMID 34379708›Full record

ArticleThe Lancet regional health. Western Pacific2021

Health-adjusted life expectancy (HALE) in Chongqing, China, 2017: An artificial intelligence and big data method estimating the burden of disease at city level.

Xiaowen Ruan, Yue Li, Xiaohui Jin, Pan Deng, Jiaying Xu, Na Li, Xian Li, Yuqi Liu, Yiyi Hu, Jingwen Xie and 15 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed, 1 synthesis or guideline 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

25 authors.

Xiaowen RuanPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
Yue LiChina Population and Development Research Center, 12 Dahuisi Road, Haidian District, Beijing 100801, China.
Xiaohui JinPing An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China.
Pan DengPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
Jiaying XuPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
Na LiPing An Technology (Shenzhen) Co., Ltd., Ping An International Finance Centre, No. 3, South Xinyuan Road, Chaoyang District, Beijing 100011, China.
Xian LiPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
Yuqi LiuPing An Technology (Shenzhen) Co., Ltd., Ping An International Finance Centre, No. 3, South Xinyuan Road, Chaoyang District, Beijing 100011, China.
Yiyi HuPing An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China.
Jingwen XiePing An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China.
Yingnan WuPing An Technology (Shenzhen) Co., Ltd., Ping An International Finance Centre, No. 3, South Xinyuan Road, Chaoyang District, Beijing 100011, China.
Dongyan LongPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
Wen HePing An Technology (Shenzhen) Co., Ltd., Ping An International Finance Centre, No. 3, South Xinyuan Road, Chaoyang District, Beijing 100011, China.
Dongsheng YuanPing An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China.
Yifei GuoPing An Technology (Shenzhen) Co., Ltd., No. 316, Laoshan Road, Pudong New District, Shanghai 200122, China.
Heng LiPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
He HuangChongqing Municipal Health Commission, No. 232 Renmin Road, Yuzhong District, Chongqing 400015, China.
Shan YangChongqing Municipal Health Commission, No. 232 Renmin Road, Yuzhong District, Chongqing 400015, China.
Mei HanPing An Technology (Shenzhen) Co., Ltd., Ping An Tech, US Research Lab, Suite 150, 3000 EI Camino Real, Palo Alto, CA 94306, United States.
Bojin ZhuangPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
Jiang QianPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
Zhenjie CaoPing An Technology (Shenzhen) Co., Ltd., Ping An Tech, US Research Lab, Suite 150, 3000 EI Camino Real, Palo Alto, CA 94306, United States.
Xuying ZhangChina Population and Development Research Center, 12 Dahuisi Road, Haidian District, Beijing 100801, China.
Jing XiaoPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.
Liang XuPing An Technology (Shenzhen) Co., Ltd., Ping'an International Financial Center, Futian District, Shenzhen 518001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA universally applicable approach that provides standard HALE measurements for different regions has yet to be developed because of the difficulties of health information collection. In this study, we developed a natural language processing (NLP) based HALE estimation approach by using individual-level electronic medical records (EMRs), which made it possible to calculate HALE timely in different temporal or spatial granularities.

methodsWe performed diagnostic concept extraction and normalisation on 13•99 million EMRs with NLP to estimate the prevalence of 254 diseases in WHO Global Burden of Disease Study (GBD). Then, we calculated HALE in Chongqing, 2017, by using the life table technique and Sullivan's method, and analysed the contribution of diseases to the expected years "lost" due to disability (DLE).

findingsOur method identified a life expectancy at birth (LE

interpretationThe results demonstrated the feasibility and effectiveness of EMRs-based HALE estimation. Moreover, the method allowed for a potentially transferable framework that facilitated a more convenient comparison of cross-sectional and longitudinal studies on HALE between regions. In summary, this study provided insightful solutions to the global ageing and health problems that the world is facing.

fundingNational Key R and D Program of China (2018YFC2000400).

Identifiers

PMID34379708
PMCPMC8315391

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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.