LLM-Based Classifiers Can Reduce the Proportion of Records to Screen with Minimal Loss of Relevant Studies: A Case Study.
- DOI
- 10.1016/j.jclinepi.2026.112517
- Published
- 2026 Sep 18
- Container
- Journal of clinical epidemiology
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.jclinepi.2026.112517,
title = {LLM-Based Classifiers Can Reduce the Proportion of Records to Screen with Minimal Loss of Relevant Studies: A Case Study.},
author = {Nussbaumer-Streit B and Dobrescu A and Sharifan A and Klerings I and Neubauer-Bruckner C and Nowak C and Gartlehner G},
year = {2026},
journal = {Journal of clinical epidemiology},
doi = {10.1016/j.jclinepi.2026.112517},
url = {https://doi.org/10.1016/j.jclinepi.2026.112517}
}RIS
TY - JOUR TI - LLM-Based Classifiers Can Reduce the Proportion of Records to Screen with Minimal Loss of Relevant Studies: A Case Study. AU - Nussbaumer-Streit B AU - Dobrescu A AU - Sharifan A AU - Klerings I AU - Neubauer-Bruckner C AU - Nowak C AU - Gartlehner G PY - 2026 JO - Journal of clinical epidemiology DO - 10.1016/j.jclinepi.2026.112517 UR - https://doi.org/10.1016/j.jclinepi.2026.112517 ER -
APA
B, N., A, D., A, S., I, K., C, N., C, N., & G, G. (2026). LLM-Based Classifiers Can Reduce the Proportion of Records to Screen with Minimal Loss of Relevant Studies: A Case Study.. Journal of clinical epidemiology. https://doi.org/10.1016/j.jclinepi.2026.112517
Source records
- pubmed · retrieved 2026-09-26T14:15:23.325Z
- europe-pmc · retrieved 2026-09-26T14:15:23.330Z