Evidence map›Paper›PMID 37727342›Full record

ReviewGland surgery2023

Definition of learning curve for thyroidectomy: systematic review on the different approaches.

Alessia Fassari, Angela Gurrado, Angelo Iossa, Alessandra Micalizzi, Andrea Polistena, Simone Sibio, Daniele Crocetti, Marco Bononi, Mario Testini, Nicola Avenia and 1 more

Abstract readReview
In one paragraph

Review in Gland surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Learning Curves in Robotic Thyroid Surgery: A Systematic Review Comparing Transoral, Axillary, and Facelift Approaches.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
    Pooled it
  2. Trial
  3. Observational
  4. Review
  5. Article
  6. Article
  7. 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

11 authors.

Alessia FassariGeneral Surgery Unit, Luxembourg Hospital Center, Luxembourg, Luxembourg.
Angela GurradoDepartment of Precision and Regenerative Medicine and Ionian Area, Aldo Moro University, Bari, Italy.
Angelo IossaDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University, Rome, Italy.
Alessandra MicalizziDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University, Rome, Italy.
Andrea PolistenaDepartment of Surgery, Sapienza University, Rome, Italy.
Simone SibioDepartment of Surgery, Sapienza University, Rome, Italy.
Daniele CrocettiDepartment of Surgery, Sapienza University, Rome, Italy.
Marco BononiDepartment of Surgery, Sapienza University, Rome, Italy.
Mario TestiniDepartment of Precision and Regenerative Medicine and Ionian Area, Aldo Moro University, Bari, Italy.
Nicola AveniaDepartment of Surgery, University of Perugia, Perugia, Italy.
Giuseppe CavallaroDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thyroidectomy is one of the most common surgical procedures carried out worldwide and it has evolved in recent years with alternative approaches. With the advent of minimally invasive techniques, the learning curve (LC) concept has become a fundamental "dogma". Methods: A literature search, according to the PRISMA guidelines, was performed via PubMed (MEDLINE), Scopus, Cochrane Library, EMBASE, and Web of Science. Only studies assessing the learning process to thyroidectomy (including hemi- and total thyroidectomy), reporting a minimum of 30 procedures and describing clearly the minimum number of performances required to achieve proficiency and the main evaluation items used to establish it, were included. Conventional, endoscopic and robotic approaches were separately analyzed. Only English-language studies were considered. Results: Forty-five relevant studies were selected for the analysis [respectively 16 concerning robotic thyroidectomy (RT), 22 endoscopic thyroidectomy (ET), 6 mini-invasive video assisted thyroidectomy (MIVAT), 1 conventional thyroidectomy (CT)]. The number of procedures required for a single surgeon to achieve competence and the parameters used to define surgical proficiency were fully investigated for each individual technique. Conclusions: Our research shows how the current literature lacks an objective definition of the LC concept. The heterogeneity of analysis methodologies and parameters evaluated, the various surgical techniques and training background of single surgeons, make it impossible to draw univocal results. Future studies should consider confounding factors and establish criteria that should be consensually recognized in the assessment of surgical performances and skills.

Indexed as

endoscopic thyroidectomylearning curve (LC)robotic thyroidectomythyroidectomyThyroid surgery

Identifiers

PMID37727342
PMCPMC10506114

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Registered trials

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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.