Evidence map›Paper›PMID 30733868›Full record

ArticleJournal of intensive care2019

Volume-outcome relationship on survival and cost benefits in severe burn injury: a retrospective analysis of a Japanese nationwide administrative database.

Akira Endo, Atsushi Shiraishi, Yasuhiro Otomo, Kiyohide Fushimi, Kiyoshi Murata

Abstract read
In one paragraph

Article in Journal of intensive care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Transport and destination hospital for patients with suspected multiple and/or severe injuries - a systematic review and clinical practice guideline update.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Pooled it
  2. Burn Care Funding in the Era of Price Transparency-Does Verification Signal Bargaining Power?Journal of burn care & research : official publication of the American Burn Association · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Burns in the Elderly: Potential Role of Stem Cells.International journal of molecular sciences · 2020
    Review
  9. Reply to the comment by Osuka et al.Journal of intensive care · 2020
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Akira Endo1Trauma and Acute Critical Care Medical Center, Hospital of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510 Japan.ORCID 0000-0002-5967-0776
Atsushi Shiraishi1Trauma and Acute Critical Care Medical Center, Hospital of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510 Japan.
Yasuhiro Otomo1Trauma and Acute Critical Care Medical Center, Hospital of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510 Japan.
Kiyohide Fushimi3Department of Health Policy and Informatics, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, Japan.
Kiyoshi Murata1Trauma and Acute Critical Care Medical Center, Hospital of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough it has been reported that high hospital patient volume results in survival and cost benefits for several diseases, it is uncertain whether this association is applicable in burn care.

methodsWe conducted a retrospective observational study on severe burn patients, defined by a burn index ≥ 10, using 2010-2015 data from a Japanese national administrative claim database. A generalized additive mixed-effect model (GAMM) was used to evaluate the nonlinear associations between patient volume and the outcomes (in-hospital mortality, healthcare costs per admission, and hospital-free days at 90 days). Generalized linear mixed-effect regression models (GLMMs) in which patient volume was incorporated as a continuous or categorical variable (≤ 5 or > 5) were also performed. Patient severity was adjusted using the prognostic burn index (PBI) or the risk adjustment model developed in this study, simultaneously controlling for hospital-level clustering. Sensitivity analyses evaluating patients who were directly transported, those with PBI ≤ 120 and those excluding patients who died within 2 days of admission, were also performed.

resultsWe analyzed 5250 eligible severe burn patients from 737 hospitals. The PBI and the developed risk adjustment model had good discriminative ability with areas under the receiver operating characteristic curves of 0.86 and 0.89, respectively. The GAMM plots showed that in-hospital mortality and healthcare costs increased according to the increase in patient volumes; then, they reached a plateau. Fewer hospital-free days were observed in the higher volume hospitals. The GLMM model showed that patient volume (incorporated as a continuous variable) was significantly associated with increased in-hospital mortality (adjusted odds ratio [95% confidence interval (CI)] = 1.14 [1.09-1.19]), high healthcare costs (adjusted difference [95% CI] = $4876 [4436-5316]), and few hospital-free days (adjusted difference [95% CI] = - 3.1 days [- 3.4 to - 2.8]). Similar trends were observed in the analyses in which patient volume was incorporated as a categorical variable. The results of sensitivity analyses showed comparable results.

conclusionsAnalysis of Japanese nationwide administrative database demonstrated that high burn patient volume was significantly associated with increased in-hospital mortality, high healthcare costs, and few hospital-free days. Further studies are needed to validate our results.

Indexed as

Costs and cost analysisHospital volumeMortalityWounds and injuries

Identifiers

PMID30733868
PMCPMC6354429

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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.