Evidence map›Paper›PMID 28135194›Full record

ArticleJournal of epidemiology2017

Validation of a novel claims-based stroke severity index in patients with intracerebral hemorrhage.

Ling-Chien Hung, Sheng-Feng Sung, Cheng-Yang Hsieh, Ya-Han Hu, Huey-Juan Lin, Yu-Wei Chen, Yea-Huei Kao Yang, Sue-Jane Lin

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 2 countries.

Ling-Chien HungDivision of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi City, Taiwan.
Sheng-Feng SungDivision of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi City, Taiwan.
Cheng-Yang HsiehDepartment of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan. Electronic address: chengyanghsieh@gmail.com.
Ya-Han HuDepartment of Information Management and Institute of Healthcare Information Management, National Chung Cheng University, Chiayi County, Taiwan.
Huey-Juan LinDepartment of Neurology, Chi Mei Medical Center, Tainan, Taiwan.
Yu-Wei ChenDepartment of Neurology, Landseed Hospital, Tao-Yuan County, Taiwan; Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan.
Yea-Huei Kao YangInstitute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Sue-Jane LinDepartment of Pharmacy Systems, Outcomes & Policy, College of Pharmacy, University of Illinois at Chicago, Chicago, IL, USA.
Chia-Yi Christian Hospital · TWChi Mei Medical Center · TWNational Cheng Kung University · TWNational Chung Cheng University · TWNational Taiwan University Hospital · TWSin-Lau Christian Hospital · TWUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke severity is an important outcome predictor for intracerebral hemorrhage (ICH) but is typically unavailable in administrative claims data. We validated a claims-based stroke severity index (SSI) in patients with ICH in Taiwan.

methodsConsecutive ICH patients from hospital-based stroke registries were linked with a nationwide claims database. Stroke severity, assessed using the National Institutes of Health Stroke Scale (NIHSS), and functional outcomes, assessed using the modified Rankin Scale (mRS), were obtained from the registries. The SSI was calculated based on billing codes in each patient's claims. We assessed two types of criterion-related validity (concurrent validity and predictive validity) by correlating the SSI with the NIHSS and the mRS. Logistic regression models with or without stroke severity as a continuous covariate were fitted to predict mortality at 3, 6, and 12 months.

resultsThe concurrent validity of the SSI was established by its significant correlation with the admission NIHSS (r = 0.731; 95% confidence interval [CI], 0.705-0.755), and the predictive validity was verified by its significant correlations with the 3-month (r = 0.696; 95% CI, 0.665-0.724), 6-month (r = 0.685; 95% CI, 0.653-0.715) and 1-year (r = 0.664; 95% CI, 0.622-0.702) mRS. Mortality models with NIHSS had the highest area under the receiver operating characteristic curve, followed by models with SSI and models without any marker of stroke severity.

conclusionsThe SSI appears to be a valid proxy for the NIHSS and an effective adjustment for stroke severity in studies of ICH outcome with administrative claims data.

Indexed as

Databases, FactualInsurance Claim ReportingSeverity of Illness IndexStrokeAgedCerebral HemorrhageFemaleHumansMaleMiddle AgedRegistriesReproducibility of ResultsTaiwanTreatment OutcomeAdministrative claims dataIntracerebral hemorrhageNational Health Insurance Research DatabaseOutcomes researchStroke severity

Identifiers

PMID28135194
PMCPMC5328736
OpenAlexW2533428220

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.