Evidence map›Paper›PMID 26425453›Full record

ReviewGland surgery2015

Robotic facelift thyroid surgery.

Steven R Bomeli, William S Duke, David J Terris

Open access · greenAbstract readReview
In one paragraph

Review in Gland surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Facelift thyroid surgery: a systematic review of indications, surgical and functional outcomes.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2023
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Robotics in otorhinolaryngology - head and neck surgery.Annals of the Royal College of Surgeons of England · 2018
    Review
  8. Initiating a Robotic Thyroidectomy Program in India.Indian journal of surgical oncology · 2018
    Article
  9. Article
  10. Article
  11. 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

3 authors at 1 institution in 1 country.

Steven R BomeliDepartment of Otolaryngology, Georgia Regents University, Augusta, Georgia.
William S DukeDepartment of Otolaryngology, Georgia Regents University, Augusta, Georgia.
David J TerrisDepartment of Otolaryngology, Georgia Regents University, Augusta, Georgia.
Georgia Regents Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Techniques for thyroid surgery have advanced dramatically over the past two decades, driven by a better understanding of thyroid physiology, anatomy, and perioperative management strategies. Improvements in surgical technology have permitted surgeons to perform minimally invasive surgery associated with less dissection, decreased pain, smaller anterior cervical incisions, and most importantly a faster recovery. The advent of robotic surgical technology has allowed the development of remote access thyroidectomy for select patients who wish to avoid a visible cervical incision completely. The robotic facelift thyroidectomy (RFT) approach also offers the advantage of outpatient surgery without the need for postoperative drainage. A growing body of evidence supports the safety and efficacy of the approach, and as a result the technique is now being performed at several centers around the world.

Indexed as

endocrine surgeryfaceliftretroauricularroboticThyroidectomy

Identifiers

PMID26425453
PMCPMC4561667
OpenAlexW2215752687

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.