Evidence map›Paper›PMID 34853098›Full record

Observational studyBMJ open2021

Validation of the predictive accuracy of health-state utility values based on the Lloyd model for metastatic or recurrent breast cancer in Japan.

Tsuguo Iwatani, Eisuke Inoue, Koichiro Tsugawa

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2021. 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
–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

1 citing paper in PubMed.

  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

3 authors.

Tsuguo IwataniBreast Surgery, National Cancer Center-Hospital East, Kashiwa, Japan t.iwatani@marianna-u.ac.jp.ORCID 0000-0001-7162-1515
Eisuke InoueResearch Administration Center, Showa University, Shinagawa-ku, Tokyo, Japan.
Koichiro TsugawaDepartment of Breast and Endocrine Surgery, St Marianna University School of Medicine, Kawasaki, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough there is a lack of data on health-state utility values (HSUVs) for calculating quality-adjusted life-years in Japan, cost-utility analysis has been introduced by the Japanese government to inform decision making in the medical field since 2016.

objectivesThis study aimed to determine whether the Lloyd model which was a predictive model of HSUVs for metastatic breast cancer (MBC) patients in the UK can accurately predict actual HSUVs for Japanese patients with MBC.

designThe prospective observational study followed by the validation study of the clinical predictive model. SETTING AND

participantsForty-four Japanese patients with MBC were studied at 336 survey points.

methodsThis study consisted of two phases. In the first phase, we constructed a database of clinical data prospectively and HSUVs for Japanese patients with MBC to evaluate the predictive accuracy of HSUVs calculated using the Lloyd model. In the second phase, Bland-Altman analysis was used to determine how accurately predicted HSUVs (based on the Lloyd model) correlated with actual HSUVs obtained using the EuroQol 5-Dimension 5-Level questionnaire, a preference-based measure of HSUVs in patients with MBC.

resultsIn the Bland-Altman analysis, the mean difference between HSUVs estimated by the Lloyd model and actual HSUVs, or systematic error, was -0.106. The precision was 0.165. The 95% limits of agreement ranged from -0.436 to 0.225. The t value was 4.6972, which was greater than the t value with 2 degrees of freedom at the 5% significance level (p=0.425).

conclusionsThere were acceptable degrees of fixed and proportional errors associated with the prediction of HSUVs based on the Lloyd model for Japanese patients with MBC. We recommend that sensitivity analysis be performed when conducting cost-effectiveness analyses with HSUVs calculated using the Lloyd model.

Indexed as

Breast NeoplasmsCost-Benefit AnalysisFemaleHumansJapanQuality-Adjusted Life YearsQuality of LifeSurveys and Questionnairesbreast tumourshealth economicspublic health

Identifiers

PMID34853098
PMCPMC8638153

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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.