Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model
- DOI
- 10.1097/cce.0000000000001275
- Published
- 2025-06
- Container
- Critical Care Explorations
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1097/cce.0000000000001275,
title = {Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model},
author = {Takeshi Tohyama and Liam G. McCoy and Euma Ishii and Sahil Sood and Jesse Raffa and Takahiro Kinoshita and Leo Anthony Celi and Satoru Hashimoto},
year = {2025},
journal = {Critical Care Explorations},
doi = {10.1097/cce.0000000000001275},
url = {https://doi.org/10.1097/cce.0000000000001275}
}RIS
TY - JOUR TI - Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model AU - Takeshi Tohyama AU - Liam G. McCoy AU - Euma Ishii AU - Sahil Sood AU - Jesse Raffa AU - Takahiro Kinoshita AU - Leo Anthony Celi AU - Satoru Hashimoto PY - 2025 JO - Critical Care Explorations DO - 10.1097/cce.0000000000001275 UR - https://doi.org/10.1097/cce.0000000000001275 ER -
APA
Tohyama, T., McCoy, L. G., Ishii, E., Sood, S., Raffa, J., Kinoshita, T., Celi, L. A., & Hashimoto, S. (2025). Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model. Critical Care Explorations. https://doi.org/10.1097/cce.0000000000001275
Source records
- crossref · retrieved 2026-09-27T05:06:29.997Z