Evidence map›Paper›PMID 26321206›Full record

ArticleSurgery today2016

Minimally invasive video-assisted thyroidectomy (MIVAT) from A to Z.

Sohail Bakkar, Gabriele Materazzi, Marco Biricotti, Luigi De Napoli, Massimo Conte, David Galleri, Aleksandr Aghababyan, Paolo Miccoli

Abstract read
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In one paragraph

Article in Surgery today, 2016. 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
–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

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

  1. Pooled it
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  5. Review
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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

8 authors.

Sohail BakkarDepartment of Surgery, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy. sohail.bakkar@gmail.com.
Gabriele MaterazziDepartment of Surgery, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Marco BiricottiDepartment of Surgery, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Luigi De NapoliDepartment of Surgery, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Massimo ConteDepartment of Surgery, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
David GalleriDepartment of Surgery, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Aleksandr AghababyanDepartment of Surgery, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Paolo MiccoliDepartment of Surgery, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A minimal access procedure does not necessarily mean that it is minimally invasive. However, as its name implies, MIVAT is a truly minimally invasive treatment modality. The advantages it offers over its conventional counterpart are indeed related to its minimally invasive nature. Furthermore, this nature has not compromised its ability to accomplish its purpose both safely and effectively. Ever since its introduction in the late 1990s, MIVAT has been progressively evolving. The indications for this procedure, which was initially surrounded by skepticism, have been expanding. Benign thyroid pathology is now considered only one of its indications among others. This article provides a detailed description of this minimally invasive, maximally effective and patient satisfying procedure so that it may be adopted by more surgeons around the globe for better patient care and to also encourage the development of further future advancements.

Indexed as

Anesthesia, GeneralHumansIntubation, IntratrachealPatient SatisfactionSafetySupine PositionThyroidectomyVideo-Assisted SurgeryMinimally invasiveThyroidectomyVideo-assisted

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.