Evidence map›Paper›PMID 37788911›Full record

Observational studyStroke and vascular neurology2024

One-year direct and indirect costs of ischaemic stroke in China.

Wei Lv, Anxin Wang, Qianyi Wang, Ruimin Wang, Qin Xu, Shuqing Wu, Yi Han, Yong Jiang, Jinxi Lin, Jing Jing and 3 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Stroke and vascular neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  3. Article
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  5. Review
  6. Review
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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

13 authors.

Wei Lv *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0009-0005-7858-7352
Anxin Wang *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qianyi Wang *School of Basic Medical Science, Capital Medical University, Beijing, China.ORCID 0009-0009-7783-1383
Ruimin WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qin XuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-8039-709X
Shuqing WuDepartment of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, China.
Yi HanHealth Economic Research Institute, Sun Yat-Sen University, Guangzhou, China.
Yong JiangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-7700-6054
Jinxi LinDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jing JingDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-9822-5758
Hao LiDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-8591-4105
Yongjun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9976-2341
Xia MengDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China mengxia@ncrcnd.org.cn.ORCID 0000-0002-4918-0845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis is the first real-world study to estimate the direct costs and indirect costs of first-ever ischaemic stroke with 1-year follow-up in China, based on a nationally representative sample.

methodsPatients were chosen from 20 geographically diverse sites from the nationally representative database China National Stroke Registry-III (CNSR-III). The inclusion criteria were surviving patients who were hospitalised with first-ever ischaemic stroke from February 2017 to February 2018 (the index event); aged 18-80 during the index event; no history of other stroke types. The primary endpoints were direct medical costs, direct non-medical costs, indirect costs and total cost (ie, the sum of all cost components). Patient characteristics and clinical data were extracted from CNSR-III. Stroke-related in-hospital direct medical costs were collected from hospital electronic medical records. The patient survey collected data related to out-of-hospital direct medical costs, direct non-medical costs and indirect costs. The secondary objective was to explore clinical factors associated with cost outcomes through univariate analysis and multiple regression.

resultsThe study enrolled 520 patients. The total cost was 57 567.48 CNY, with 26 612.67 CNY direct medical costs, 2 787.56 CNY direct non-medical costs and 28 167.25 CNY indirect costs. Univariate analysis showed that longer lengths of stay during the index event, higher National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale scores were associated with higher costs in all categories. Conversely, EuroQol 5 Dimension utility scores were associated with decreased costs except direct non-medical costs. Multiple regressions showed that higher admission NIHSS scores were independently associated with higher direct medical costs, indirect costs and total cost. Higher 3-month utilities were associated with lower total cost.

conclusionThis real-world study showed substantial 1-year economic burden following first-ever ischaemic stroke in China, and that indirect costs are a non-negligible driver of costs.

Indexed as

Health Care CostsHospital CostsIschemic StrokeRegistriesAdolescentAdultAgedAged, 80 and overChinaDatabases, FactualFemaleHealth ExpendituresHumansMaleMiddle AgedTime FactorsCerebrovascular DisordersStroke

Identifiers

PMID37788911
PMCPMC11420908

What OpenQuestion holds

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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.