Evidence map›Paper›PMID 29489677›Full record

ArticleMedicine2018

Clinical and imaging features of granular cell tumor of the neurohypophysis: A retrospective analysis.

Fang Han, Lu Gao, Yin Wang, Yingying Jin, Yi Lv, Zhenwei Yao, Jiawen Zhang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Primary tumors of the posterior pituitary: A systematic review.Reviews in endocrine & metabolic disorders · 2019
    Pooled it
  3. Review
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  12. Supra-sellar granular cell tumor: Report of a case with literature review.International journal of surgery case reports · 2023
    Article
  13. 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

7 authors at 1 institution in 1 country.

Fang HanDepartment of Radiology Department of Pathology, Huashan Hospital, Fudan University, Shanghai, China.
Lu Gao
Yin Wang
Yingying Jin
Yi Lv
Zhenwei Yao
Jiawen Zhang
Huashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to explore x-ray computed tomography (CT) and magnetic resonance imaging (MRI) characteristics specific to granular cell tumors (GCTs) of the neurohypophysis.The clinical and imaging data of 6 patients with operation-proven GCTs of the neurohypophysis were analyzed retrospectively.There were 6 patients with GCTs of the neurohypophysis confirmed pathologically. Five of the tumors were purely suprasellar lesions distinct from the intrasellar pituitary gland. One tumor was both intra- and suprasellar. Solid tumors were hyperattenuated and enhanced homogeneously on CT, while showing isointensity on T1WI and heterogeneous hypointensity on T2WI, with homogeneous (4/5) or inhomogeneous (1/5) enhancement. The cystic tumor showed hypointensity on T1WI and hyperintensity on T2WI, with ring enhancement. "Star-like crack sign" was seen in 2 larger solid cases. Calcification was absent in all cases.Well-circumscribed intra and/or suprasellar masses, hyperattenuated and homogeneously enhancing on CT, hypointensity on T2WI, rarely seen calcification, should arouse suspicion of GCTs of the neurohypophysis.

Indexed as

AdultFemaleGranular Cell TumorHumansMagnetic Resonance ImagingMaleMiddle AgedPituitary Gland, PosteriorPituitary NeoplasmsRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID29489677
PMCPMC5851750
OpenAlexW2923370478

What OpenQuestion holds

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LicenceCC BY-ND
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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.