Evidence map›Paper›PMID 37843726›Full record

SynthesisPituitary2023

Reported baseline variables in transsphenoidal surgery for pituitary adenoma over a 30 year period: a systematic review.

Hugo Layard Horsfall, Ryan T S Loh, Ashwin Venkatesh, Danyal Z Khan, Alistair Lawrence, Ronie Jayapalan, Olympia Koulouri, Daniele Borsetto, Thomas Santarius, Mark Gurnell and 4 more

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Pituitary, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

14 authors.

Hugo Layard Horsfall *Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK. Hugo.layardhorsfall@ucl.ac.uk.
Ryan T S Loh *School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Ashwin VenkateshSchool of Clinical Medicine, University of Cambridge, Cambridge, UK.
Danyal Z KhanDepartment of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, UK.
Alistair LawrenceDepartment of Neurosurgery, Royal London Hospital, London, UK.
Ronie JayapalanDivision of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
Olympia KoulouriMetabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge and Cambridge NIHR Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, UK.
Daniele BorsettoDepartment of Otolaryngology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
Thomas SantariusDivision of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
Mark GurnellMetabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge and Cambridge NIHR Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, UK.
Neil DorwardDepartment of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, UK.
Richard MannionDivision of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
Hani J MarcusDepartment of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, UK.
Angelos G KoliasDivision of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

purposeHeterogeneous reporting in baseline variables in patients undergoing transsphenoidal resection of pituitary adenoma precludes meaningful meta-analysis. We therefore examined trends in reported baseline variables, and degree of heterogeneity of reported variables in 30 years of literature.

methodsA systematic review of PubMed and Embase was conducted on studies that reported outcomes for transsphenoidal surgery for pituitary adenoma 1990-2021. The protocol was registered a priori and adhered to the PRISMA statement. Full-text studies in English with > 10 patients (prospective), > 500 patients (retrospective), or randomised trials were included.

results178 studies were included, comprising 427,659 patients: 52 retrospective (29%); 118 prospective (66%); 9 randomised controlled trials (5%). The majority of studies were published in the last 10 years (71%) and originated from North America (38%). Most studies described patient demographics, such as age (165 studies, 93%) and sex (164 studies, 92%). Ethnicity (24%) and co-morbidities (25%) were less frequently reported. Clinical baseline variables included endocrine (60%), ophthalmic (34%), nasal (7%), and cognitive (5%). Preoperative radiological variables were described in 132 studies (74%). MRI alone was the most utilised imaging modality (67%). Further specific radiological baseline variables included: tumour diameter (52 studies, 39%); tumour volume (28 studies, 21%); cavernous sinus invasion (53 studies, 40%); Wilson Hardy grade (25 studies, 19%); Knosp grade (36 studies, 27%).

conclusionsThere is heterogeneity in the reporting of baseline variables in patients undergoing transsphenoidal surgery for pituitary adenoma. This review supports the need to develop a common data element to facilitate meaningful comparative research, trial design, and reduce research inefficiency.

Indexed as

AdenomaPituitary NeoplasmsHumansProspective StudiesRetrospective StudiesTreatment OutcomeAdenomaCommon data elementsCore outcome setsNeurosurgeryPituitary

Identifiers

PMID37843726
PMCPMC10665258

What OpenQuestion holds

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LicenceCC BY
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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.