Evidence map›Paper›PMID 28336741›Full record

Observational studyBMJ open2017

Differences between determinants of in-hospital mortality and hospitalisation costs for patients with acute heart failure: a nationwide observational study from Japan.

Noriko Sasaki, Susumu Kunisawa, Hiroshi Ikai, Yuichi Imanaka

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Cost-effectiveness analysis of cardiac implantable electronic devices with reactive atrial-based antitachycardia pacing.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
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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

4 authors.

Noriko SasakiDepartment of Healthcare Economics and Quality Management, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Susumu KunisawaDepartment of Healthcare Economics and Quality Management, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Hiroshi IkaiDepartment of Healthcare Economics and Quality Management, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yuichi ImanakaDepartment of Healthcare Economics and Quality Management, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough current case-mix classifications in prospective payment systems were developed to estimate patient resource usage, whether these classifications reflect clinical outcomes remains unknown. The efficient management of acute heart failure (AHF) with high mortality is becoming more important in many countries as its prevalence and associated costs are rapidly increasing. Here, we investigate the determinants of in-hospital mortality and hospitalisation costs to clarify the impact of severity factors on these outcomes in patients with AHF, and examine the level of agreement between the predicted values of mortality and costs.

designCross-sectional observational study. SETTING AND

participantsA total of 19 926 patients with AHF from 261 acute care hospitals in Japan were analysed using administrative claims data.

main outcome measuresMultivariable logistic regression analysis and linear regression analysis were performed to examine the determinants of in-hospital mortality and hospitalisation costs, respectively. The independent variables were grouped into patient condition on admission, postadmission procedures indicating disease severity (eg, intra-aortic balloon pumping) and other high-cost procedures (eg, single-photon emission CT). These groups of independent variables were cumulatively added to the models, and their effects on the models' abilities to predict the respective outcomes were examined. The level of agreement between the quartiles of predicted mortality and predicted costs was analysed using Cohen's κ coefficient.

resultsIn-hospital mortality was associated with patient's condition on admission and severity-indicating procedures (C-statistics 0.870), whereas hospitalisation costs were associated with severity-indicating procedures and high-cost procedures (R

conclusionsThe determinants of mortality and costs for hospitalised patients with AHF were generally different. Our results indicate that the same case-mix classifications should not be used to predict both these outcomes.

Indexed as

Hospital MortalityAcute DiseaseAgedCross-Sectional StudiesFemaleHeart FailureHospital CostsHumansJapanLength of StayMaleCase-mix classificationhospitalization costsin-hospital mortalityresource utilization

Identifiers

PMID28336741
PMCPMC5372154

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Registered trials

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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.