Evidence map›Paper›PMID 34231079›Full record

ArticlePituitary2021

Pituitary society expert Delphi consensus: operative workflow in endoscopic transsphenoidal pituitary adenoma resection.

Hani J Marcus, Danyal Z Khan, Anouk Borg, Michael Buchfelder, Justin S Cetas, Justin W Collins, Neil L Dorward, Maria Fleseriu, Mark Gurnell, Mohsen Javadpour and 16 more

Abstract readConsensus Statement
In one paragraph

Article in Pituitary, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. Action classification for endoscopic pituitary adenoma resection: a consensus-based study.International journal of computer assisted radiology and surgery · 2026
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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

26 authors.

Hani J Marcus *Division of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK. hani.marcus@ucl.ac.uk.ORCID http://orcid.org/0000-0001-8000-392X
Danyal Z Khan *Division of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Anouk BorgDepartment of Neurosurgery, John Radcliffe Hospital, Oxford, UK.
Michael BuchfelderDepartment of Neurosurgery, University Hospital Erlangen, Erlangen, Germany.
Justin S CetasDepartment of Neurosurgery, Oregon Health & Science University, Portland, USA.
Justin W CollinsDepartment of Uro-Oncology, University College London Hospitals NHS Foundation Trust, London, UK.
Neil L DorwardDivision of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Maria FleseriuDepartment of Neurosurgery, Oregon Health & Science University, Portland, USA.
Mark GurnellDivision of Clinical Endocrinology & NIHR Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Mohsen JavadpourDepartment of Neurosurgery, National Neurosurgical Centre, Beaumont Hospital, Dublin, Ireland.
Pamela S JonesDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
Chan Hee KohDivision of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Hugo Layard HorsfallDivision of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Adam N MamelakDepartment of Neurosurgery and Pituitary Center, Cedars-Sinai Medical Center, Los Angeles, USA.
Pietro MortiniDepartment of Neurosurgery, San Raffaele University Health Institute Milan, Milan, Italy.
William MuirheadDivision of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Nelson M OyesikuDepartment of Neurosurgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Theodore H SchwartzDepartment of Neurosurgery, Weill Medical College of Cornell University, New York, USA.
Saurabh SinhaDepartment of Neurosurgery, Royal Hallamshire Hospital & Sheffield Children's Hospital, Sheffield, UK.
Danail StoyanovWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK.
Luis V SyroDepartment of Neurosurgery, Hospital Pablo Tobon Uribe and Clinica Medellin-Grupo Quirónsalud, Medellin, Colombia.
Georgios TsermoulasDepartment of Neurosurgery, Queen Elizabeth Hospital Birmingham, Birmingham, UK.
Adam WilliamsDepartment of Neurosurgery, Southmead Hospital Bristol, Bristol, UK.
Mark J WinderDepartment of Neurosurgery, St Vincent's Public and Private Hospitals, Sydney, Australia.
Gabriel ZadaDepartment of Neurosurgery, University of Southern California, Los Angeles, California, USA.
Edward R LawsDepartment of Neurosurgery, Brigham and Women's Hospital, BTM 4, 60 Fenwood Road, Boston, USA.

Funding

Wellcome Trust
6 · The paper itself

Abstract

purposeSurgical workflow analysis seeks to systematically break down operations into hierarchal components. It facilitates education, training, and understanding of surgical variations. There are known educational demands and variations in surgical practice in endoscopic transsphenoidal approaches to pituitary adenomas. Through an iterative consensus process, we generated a surgical workflow reflective of contemporary surgical practice.

methodsA mixed-methods consensus process composed of a literature review and iterative Delphi surveys was carried out within the Pituitary Society. Each round of the survey was repeated until data saturation and > 90% consensus was reached.

resultsThere was a 100% response rate and no attrition across both Delphi rounds. Eighteen international expert panel members participated. An extensive workflow of 4 phases (nasal, sphenoid, sellar and closure) and 40 steps, with associated technical errors and adverse events, were agreed upon by 100% of panel members across rounds. Both core and case-specific or surgeon-specific variations in operative steps were captured.

conclusionsThrough an international expert panel consensus, a workflow for the performance of endoscopic transsphenoidal pituitary adenoma resection has been generated. This workflow captures a wide range of contemporary operative practice. The agreed "core" steps will serve as a foundation for education, training, assessment and technological development (e.g. models and simulators). The "optional" steps highlight areas of heterogeneity of practice that will benefit from further research (e.g. methods of skull base repair). Further adjustments could be made to increase applicability around the world.

Indexed as

AdenomaPituitary NeoplasmsEndoscopyHumansRetrospective StudiesSphenoid BoneTreatment OutcomeWorkflowConsensusDelphiEndoscopic endonasalEndoscopic transsphenoidal surgeryPituitaryPituitary adenomaSkull base surgery

Identifiers

PMID34231079
PMCPMC8259776

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.