Evidence map›Paper›PMID 39753743›Full record

ReviewLangenbeck's archives of surgery2025

Thyroid surgery under nerve auto-fluorescence & artificial intelligence tissue identification software guidance.

Fernando Dip, Rene Aleman, Alberto Rancati, Gustavo Eiben, Raul J Rosenthal, Diego Sinagra

Abstract readCase ReportsReview
PubMed Publisher
In one paragraph

Review in Langenbeck's archives of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Fernando DipDepartment of General Surgery, Sanatorio Otamendi & Miroli (Otamendi & Miroli Hospital), University of Buenos Aires, Buenos Aires, Argentina. fernandodip@gmail.com.
Rene AlemanDepartment of General Surgery, Sanatorio Otamendi & Miroli (Otamendi & Miroli Hospital), University of Buenos Aires, Buenos Aires, Argentina. alemanr2@ccf.org.
Alberto RancatiDepartment of General Surgery, Sanatorio Otamendi & Miroli (Otamendi & Miroli Hospital), University of Buenos Aires, Buenos Aires, Argentina.
Gustavo EibenDepartment of General Surgery, Sanatorio Otamendi & Miroli (Otamendi & Miroli Hospital), University of Buenos Aires, Buenos Aires, Argentina.
Raul J RosenthalDepartment of General Surgery, Sanatorio Otamendi & Miroli (Otamendi & Miroli Hospital), University of Buenos Aires, Buenos Aires, Argentina.
Diego SinagraDepartment of General Surgery, Sanatorio Otamendi & Miroli (Otamendi & Miroli Hospital), University of Buenos Aires, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer is a common malignancy that requires comprehensive clinical evaluation prior to adequate surgical management. Over the last three decades thyroid surgery has tripled and is considered one of the most commonly performed procedures in general surgery. These procedures are associated with potential postoperative complications with significant deterioration in the patient's quality of life. While the current rates of recurrent laryngeal nerve injury following thyroidectomy have decreased secondary to intraoperative neuromonitoring, thyroid surgery remains the leading cause of iatrogenic injury. The authors herein present a case of a thyroid nodule with cervical lymph node involvement undergoing total thyroidectomy guided by near-ultraviolet (NUV) imaging nerve auto-fluorescent technology to visualize, identify and protect vital structures.

Indexed as

ThyroidectomyThyroid NeoplasmsArtificial IntelligenceFemaleHumansMiddle AgedRecurrent Laryngeal Nerve InjuriesSoftwareSurgery, Computer-AssistedThyroid NoduleAuto-fluorescent technologyFluorescent-guided surgeryNerve identificationSurgical precision (look up mesh terms for compliance)Thyroid cancer

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.