Evidence map›Paper›PMID 36952484›Full record

ArticlePloS one2023

Validation study on definition of cause of death in Japanese claims data.

Fumiya Ito, Shintaro Togashi, Yuri Sato, Kento Masukawa, Kazuki Sato, Masaharu Nakayama, Kenji Fujimori, Mitsunori Miyashita

Open access · goldFull text read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Fumiya ItoDepartment of Palliative Nursing, Health Sciences, Tohoku University Graduate School of Medicine, Sendai, Japan.
Shintaro TogashiDepartment of Palliative Nursing, Health Sciences, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0002-1753-4450
Yuri SatoDepartment of Palliative Nursing, Health Sciences, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kento MasukawaDepartment of Palliative Nursing, Health Sciences, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kazuki SatoDivision of Integrated Health Sciences, Department of Nursing for Advanced Practice, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masaharu NakayamaDepartment of Medical Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kenji FujimoriDepartment of Healthcare Administration, Tohoku University Graduate School of Medicine, Sendai, Japan.
Mitsunori MiyashitaDepartment of Palliative Nursing, Health Sciences, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0002-7637-0409
Tohoku University · JPNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the cause of death is important for the study of end-of-life patients using claims data in Japan. However, the validity of how cause of death is identified using claims data remains unknown. Therefore, this study aimed to verify the validity of the method used to identify the cause of death based on Japanese claims data. Our study population included patients who died at two institutions between January 1, 2018 and December 31, 2019. Claims data consisted of medical data and Diagnosis Procedure Combination (DPC) data, and five definitions developed from disease classification in each dataset were compared with death certificates. Nine causes of death, including cancer, were included in the study. The definition with the highest positive predictive values (PPVs) and sensitivities in this study was the combination of "main disease" in both medical and DPC data. For cancer, these definitions had PPVs and sensitivities of > 90%. For heart disease, these definitions had PPVs of > 50% and sensitivities of > 70%. For cerebrovascular disease, these definitions had PPVs of > 80% and sensitivities of> 70%. For other causes of death, PPVs and sensitivities were < 50% for most definitions. Based on these results, we recommend definitions with a combination of "main disease" in both medical and DPC data for cancer and cerebrovascular disease. However, a clear argument cannot be made for other causes of death because of the small sample size. Therefore, the results of this study can be used with confidence for cancer and cerebrovascular disease but should be used with caution for other causes of death.

Indexed as

Cause of DeathCerebrovascular DisordersHeart DiseasesDatabases, FactualEast Asian PeopleHumansJapanPredictive Value of Tests

Identifiers

PMID36952484
PMCPMC10035912
OpenAlexW4360609213

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read64
identifiers read6
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 OpenQuestion graph.