Evidence map›Paper›PMID 34956896›Full record

ArticleFrontiers in oncology2021

Cyst Type Differentiates Rathke Cleft Cysts From Cystic Pituitary Adenomas.

Sherwin Tavakol, Michael P Catalino, David J Cote, Xian Boles, Edward R Laws, Wenya Linda Bi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. 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
0.6field-weighted citation impact, top 30% of its field
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, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Rathke's cleft cyst: From history to molecular genetics.Reviews in endocrine & metabolic disorders · 2025
    Review
  6. Review
  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

6 authors at 5 institutions in 1 country.

Sherwin TavakolDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Michael P CatalinoDepartment of Neurosurgery, University of North Carolina Hospitals, Chapel Hill, NC, United States.
David J CoteDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Xian BolesDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Edward R LawsDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Wenya Linda BiDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Harvard University · USBrigham and Women's Hospital · USKeck Hospital of USC · USUniversity of North Carolina Hospitals · USUniversity of Oklahoma Health Sciences Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA classification system for cystic sellar lesions does not exist. We propose a novel classification scheme for these lesions based on the heterogeneity of the cyst wall/contents and the presence of a solid component on imaging.

methodsWe retrospectively reviewed 205 patients' medical records (2008-2020) who underwent primary surgery for a cystic sellar lesion. Cysts were classified

resultsThe frequencies of RCC and cystic pituitary adenoma in our cohort were 45.4% and 36.4%, respectively. Non-neoplastic lesions (e.g., arachnoid cysts and RCC) were more likely to be Type 1 or 2, whereas cystic neoplasms (e.g., pituitary adenomas and craniopharyngiomas) were more likely to be Type 3 or 4 (p<0.0001). Higher cyst types, compared to Type 1, had higher odds of being cystic pituitary adenomas compared to RCCs (OR: 23.7, p=0.033, and 342.6, p <0.0001, for Types 2 and 4, respectively). Lesions with a fluid-fluid level on preoperative MRI also had higher odds of being pituitary adenomas (OR: 12.7; p=0.023). Cystic pituitary adenomas were more common in patients with obesity (OR: 5.0, p=0.003) or symptomatic hyperprolactinemia (OR: 11.5; p<0.001, respectively). The multivariable model had a positive predictive value of 82.2% and negative predictive value of 86.4%.

conclusionWhen applied to the diagnosis of RCC versus cystic pituitary adenoma, higher cystic lesion types (Type 2 & 4), presence of fluid-fluid level, symptomatic hyperprolactinemia, and obesity were predictors of cystic pituitary adenoma. Further validation is needed, but this classification scheme may prove to be a useful tool for the management of patients with common sellar pathology.

Indexed as

craniopharyngiomacystic sellar lesionpituitary adenomapituitary cystpituitary tumorRathke cleft cyst

Identifiers

PMID34956896
PMCPMC8702518
OpenAlexW4200455741

What OpenQuestion holds

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LicenceCC BY
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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.