Article in Journal of clinical medicine, 2026. 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.
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
14 authors.
Umid SulaimanovDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.ORCID 0000-0002-4839-3347
Nafiye SanlierDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.ORCID 0000-0002-4192-9268
Ariorad MoniriSchool of Medicine, Acibadem University, Istanbul 34752, Turkey.ORCID 0000-0002-5171-3532
Behman DemirDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.ORCID 0000-0003-3474-2232
Yerkebulan SerikkanovDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.ORCID 0009-0009-0476-2065
Ahmed Rasim BayramogluDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.ORCID 0009-0000-9668-7246
Maryam Sabah Al-JeburDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
Melih Yucel SanlierDepartment of Emergency Medicine, Istanbul Medeniyet University, Prof. Dr. Suleyman Yalcin City Hospital, Istanbul 34722, Turkey.ORCID 0000-0002-5757-4502
Ugur ErginogluDepartment of Otaryngology-Head and Neck Surgery, Basaksehir State Hospital, Istanbul 34480, Turkey.
Erkin OtlesBerbeeWalsh Department of Emergency Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.ORCID 0000-0003-3169-6832
Simon Gashaw AmmanuelDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
Abdullah KelesDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
Ufuk ErginogluDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
Mustafa Kemal BaskayaDepartment of Neurological Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA.
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
PubMed holds no abstract for this paper.
Indexed as
artificial intelligencebenchmarkingevidence synthesisinformation extractionlarge language modelsneuroimaging
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.
Evaluating Large Language Models for Automated Evidence Synthesis in Neuroimaging AI: A Multi-Model Benchmark. · full record | OpenQuestion