Evidence map›Paper›PMID 42449797›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Deep Learning-Based Objective Quantification of Nasopharyngeal Endoscopic Findings for Standardized Assessment of Inflammation.

Manabu Mogitate, Hirobumi Ito, Yoshihiro Ohno, Noriko Nishiwaki, Yusei Yamaguchi, Momoki Fujikawa, Akira Fukuo, Yuko Sasaki, Yoshiyuki Watanabe, Kota Wada

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Manabu MogitateOtolaryngology, Mogitate ENT Clinic, Kawasaki 213-0011, Japan.ORCID 0000-0002-2638-0510
Hirobumi ItoOtolaryngology, Ito ENT Clinic, Funabashi 274-0824, Japan.
Yoshihiro OhnoOtolaryngology, Ohno ENT Clinic, Fussa 197-0024, Japan.
Noriko NishiwakiOtolaryngology, Motohashi ENT Clinic, Mishima 411-0831, Japan.
Yusei YamaguchiOtolaryngology-Head and Neck Surgery, Toho University Omori Medical Center, Tokyo 143-8541, Japan.
Momoki FujikawaOtolaryngology-Head and Neck Surgery, Toho University Omori Medical Center, Tokyo 143-8541, Japan.
Akira FukuoOtolaryngology-Head and Neck Surgery, Toho University Omori Medical Center, Tokyo 143-8541, Japan.
Yuko SasakiOtolaryngology, Mogitate ENT Clinic, Kawasaki 213-0011, Japan.
Yoshiyuki WatanabeOtolaryngology-Head and Neck Surgery, Toho University Omori Medical Center, Tokyo 143-8541, Japan.ORCID 0000-0001-9037-3596
Kota WadaOtolaryngology-Head and Neck Surgery, Toho University Omori Medical Center, Tokyo 143-8541, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencedeep learningendoscopyepipharyngeal abrasive therapyinflammationnasopharyngitis

Identifiers

PMID42449797
PMCPMC13359797

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.