Evidence map›Paper›PMID 35784257›Full record

ArticleFrontiers in public health2022

Assessing the Diagnostic Accuracy of Physicians for Home Death Certification in Shanghai: Application of SmartVA.

Lei Chen, Tian Xia, Rasika Rampatige, Hang Li, Tim Adair, Rohina Joshi, Zhen Gu, Huiting Yu, Bo Fang, Deirdre McLaughlin and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 6 institutions in 4 countries.

Lei ChenShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Tian XiaShanghai Institutes of Preventive Medicine, Shanghai, China.
Rasika RampatigeMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Hang LiMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Tim AdairMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Rohina JoshiMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Zhen GuVital Strategies, New York, NY, United States.
Huiting YuShanghai Institutes of Preventive Medicine, Shanghai, China.
Bo FangShanghai Institutes of Preventive Medicine, Shanghai, China.
Deirdre McLaughlinMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Alan D LopezDepartment of Health Metrics Sciences, IHME, University of Washington, Seattle, WA, United States.
Chunfang WangShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Zheng'an YuanShanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
University of Melbourne · AUShanghai Institute of Hematology · CNShanghai Municipal Center For Disease Control Prevention · CNThe George Institute for Global Health · AUUniversity of Washington · USVital Strategies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approximately 30% of deaths in Shanghai either occur at home or are not medically attended. The recorded cause of death (COD) in these cases may not be reliable. We applied the Smart Verbal Autopsy (VA) tool to assign the COD for a representative sample of home deaths certified by 16 community health centers (CHCs) from three districts in Shanghai, from December 2017 to June 2018. The results were compared with diagnoses from routine practice to ascertain the added value of using SmartVA. Overall, cause-specific mortality fraction (CSMF) accuracy improved from 0.93 (93%) to 0.96 after the application of SmartVA. A comparison with a "gold standard (GS)" diagnoses obtained from a parallel medical record review investigation found that 86.3% of the initial diagnoses made by the CHCs were assigned the correct COD, increasing to 90.5% after the application of SmartVA. We conclude that routine application of SmartVA is not indicated for general use in CHCs, although the tool did improve diagnostic accuracy for residual causes, such as other or ill-defined cancers and non-communicable diseases.

Indexed as

Death CertificatesPhysiciansAutopsyCause of DeathChinaHumanscause of deathCRVS systemdemographyepidemiologySmart Verbal Autopsy

Identifiers

PMID35784257
PMCPMC9247331
OpenAlexW4283026409

What Socratic holds

Textmetadata
LicenceCC BY
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.