Evidence map›Paper›PMID 30477501›Full record

ArticleBMC health services research2018

Positive predictive value of ICD-10 codes for acute myocardial infarction in Japan: a validation study at a single center.

Takashi Ando, Nobuhiro Ooba, Mayumi Mochizuki, Daisuke Koide, Koichi Kimura, Seitetz L Lee, Soko Setoguchi, Kiyoshi Kubota

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
13.1field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 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

8 authors at 5 institutions in 2 countries.

Takashi AndoDivision of Evaluation and Analysis of Drug Information, Keio University Faculty of Pharmacy, Tokyo, Japan.
Nobuhiro OobaDepartment of Clinical Pharmacy, Nihon University School of Pharmacy, Chiba, Japan.
Mayumi MochizukiDivision of Evaluation and Analysis of Drug Information, Keio University Faculty of Pharmacy, Tokyo, Japan.
Daisuke KoideDepartment of Biostatistics & Bioinformatics Graduate School of Medicine The University of Tokyo, Tokyo, Japan.
Koichi KimuraDepartments of Advanced Medical Science, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Seitetz L LeeDepartment of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan.
Soko SetoguchiDuke Clinical Research Institute, Durham, NC, USA.
Kiyoshi KubotaNPO Drug Safety Research Unit Japan, Yushima 1-2-13-4F, Bunkyo-ku, Tokyo, 114-0002, Japan. kubotape-tky@umin.net.ORCID http://orcid.org/0000-0001-6092-8685
The University of Tokyo · JPKeio University · JPClinical Research Institute · USKubota (Japan) · JPNihon University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Japan, several large healthcare databases have become available for research since the early 2000's. However, validation studies to examine the accuracy of these databases remain scarce. We conducted a validation study in order to estimate the positive predictive value (PPV) of local or ICD-10 codes for acute myocardial infarction (AMI) in Japanese claims. In particular, we examined whether the PPV differs between claims in the Diagnosis Procedure Combination case mix scheme (DPC claims) and in non-DPC claims.

methodsWe selected a random sample of 200 patients from all patients hospitalized at a large tertiary-care university hospital between January 1, 2009 and December 31, 2011 who had an inpatient claim assigned a local or ICD-10 code for AMI. We used a standardized data abstraction form to collect the relevant information from an electronic medical records system. Abstracted information was then categorized by a single cardiologist as being either definite or not having AMI.

resultsIn a random sample of 200 patients, the average age was 67.7 years and the proportion of males was 78.0%. The PPV of the local or ICD-10 code for AMI was 82.5% in this sample of 200 patients. Further, of 178 patients who had an ICD-10 code for AMI based on any of the 7 types of condition codes in the DPC claims, the PPV was 89.3%, whereas of the 161 patients who had an ICD-10 code for AMI based on any of 3 major types of condition codes in the DPC claims, the PPV was 93.8%.

conclusionThe PPV of the local or ICD-10 code for AMI was high for inpatient claims in Japan. The PPV was even higher for the ICD-10 code for AMI for those patients who received AMI care through the DPC case mix scheme. The current study was conducted in a single center, suggesting that a multi-center study involving different types of hospitals is needed in the future. The accuracy of condition codes for DPC claims in Japan may also be worth examining for conditions other than AMI such as stroke.

Indexed as

International Classification of DiseasesAgedDatabases, FactualDiagnosis-Related GroupsFee-for-Service PlansFemaleHospitalizationHospitals, UniversityHumansJapanMaleMiddle AgedMyocardial InfarctionPredictive Value of TestsTertiary Care CentersAcute myocardial infarctionCase mixDiagnosis procedure combinationPositive predictive value; databaseValidation study

Identifiers

PMID30477501
PMCPMC6260564
OpenAlexW2902713504

What OpenQuestion holds

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LicenceCC BY
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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.