Evidence map›Paper›PMID 32175258›Full record

ReviewGland surgery2020

Robotic adrenalectomy: when and how?

Claire Nomine-Criqui, Lea Demarquet, Marie Laure Schweitzer, Marc Klein, Laurent Brunaud, Florence Bihain

Abstract readReview
In one paragraph

Review in Gland surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  5. A case of aberrant right adrenal vein anatomy.Journal of surgical case reports · 2025
    Article
  6. Article
  7. [Robotic adrenalectomy-current evidence].Chirurgie (Heidelberg, Germany) · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Robotic Adrenalectomy: A 10-Year Clinical Experience at a Tertiary Medical Center.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    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.

Claire Nomine-CriquiUnit of Metabolic, Endocrine, and Thyroid Surgery (UMET), Department of Visceral and Metabolic Surgery, Hospital Brabois Adultes, CHRU Nancy, University of Lorraine, Nancy, France.
Lea DemarquetDepartment of Endocrinology, Diabetology and Nutrition, CHU Nancy, University of Lorraine, Nancy, France.
Marie Laure SchweitzerDepartment of Endocrinology, Diabetology and Nutrition, CHU Nancy, University of Lorraine, Nancy, France.
Marc KleinDepartment of Endocrinology, Diabetology and Nutrition, CHU Nancy, University of Lorraine, Nancy, France.
Laurent BrunaudUnit of Metabolic, Endocrine, and Thyroid Surgery (UMET), Department of Visceral and Metabolic Surgery, Hospital Brabois Adultes, CHRU Nancy, University of Lorraine, Nancy, France.
Florence BihainUnit of Metabolic, Endocrine, and Thyroid Surgery (UMET), Department of Visceral and Metabolic Surgery, Hospital Brabois Adultes, CHRU Nancy, University of Lorraine, Nancy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, laparoscopic adrenalectomy is considered as the preferred technique to manage adrenal tumors. However, there are no prospective randomized studies evaluating this strategy. With the recent advances in surgical equipment and the widespread of robotic technology, a robotic approach is considered as an interesting option in some medical centers. This approach seems to be feasible and safe but high-level evidence of its benefits is still lacking. This review summarizes indications, advantages and drawbacks of robotic adrenalectomy and describes its surgical technique.

Indexed as

Adrenaladrenalectomypheochromocytomarobotic

Identifiers

PMID32175258
PMCPMC7044087

What OpenQuestion holds

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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.