Evidence map›Paper›PMID 40142614›Full record

ArticleJournal of clinical medicine2025

Novel Preprocessing-Based Sequence for Comparative MR Cervical Lymph Node Segmentation.

Elif Ayten Tarakçı, Metin Çeliker, Mehmet Birinci, Tuğba Yemiş, Oğuz Gül, Enes Faruk Oğuz, Merve Solak, Esat Kaba, Fatma Beyazal Çeliker, Zerrin Özergin Coşkun and 2 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Elif Ayten TarakçıDepartment of Otorhinolaryngology, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.ORCID 0009-0007-3714-2888
Metin ÇelikerDepartment of Otorhinolaryngology, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.
Mehmet BirinciDepartment of Otorhinolaryngology, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.ORCID 0000-0001-8184-7454
Tuğba YemişDepartment of Otorhinolaryngology, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.
Oğuz GülDepartment of Otorhinolaryngology, Akçaabat Haçkalı Baba State Hospital, Trabzon 61310, Turkey.
Enes Faruk OğuzDepartment of Biomedical Device Technology, Hassa Vocational School, Hatay Mustafa Kemal University, Hatay 31000, Turkey.
Merve SolakDepartment of Radiolagy, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.ORCID 0000-0003-3466-7260
Esat KabaDepartment of Radiolagy, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.ORCID 0000-0001-7464-988X
Fatma Beyazal ÇelikerDepartment of Radiolagy, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.
Zerrin Özergin CoşkunDepartment of Otorhinolaryngology, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.
Ahmet AlkanDepartment of Electrical and Electronics Engineering, Kahramanmaraş Sütçü İmam University, Kahramanmaraş 46000, Turkey.
Özlem Çelebi ErdivanlıDepartment of Otorhinolaryngology, Medicine Faculty, Recep Tayyip Erdoğan University, Rize 53000, Turkey.

Funding

Recep Tayyip Erdoğan University 02024012009212
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencecervical lymph nodedeep learningmagnetic resonance imagingsegmentation

Identifiers

PMID40142614
PMCPMC11943128

What OpenQuestion holds

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Registered trials

None linked

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.