Evidence map›Paper›PMID 32863877›Full record

ArticleEcancermedicalscience2020

Endometrial adenocarcinoma presenting as a suprasellar mass: lessons to be learned.

Evgenia Granina, Julia Fehniger, Douglas Kondziolka, Joshua Silverman, Andrea Downey, Dimitris Placantonakis, Franco Muggia

Open access · goldAbstract readCase Reports
In one paragraph

Article in Ecancermedicalscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Evgenia GraninaDepartment of Internal Medicine, NYU Langone Health, New York, NY 10016, USA.
Julia FehnigerDepartment of Gynecologic Oncology, NYU Langone Health, New York, NY 10016, USA.
Douglas KondziolkaDepartment of Neurosurgery, NYU Langone Health, New York, NY 10016, USA.
Joshua SilvermanDepartment of Radiation Oncology, NYU Langone Health, New York, NY 10016, USA.
Andrea DowneyDepartment of Pathology, NYU Langone Health, New York, NY 10016, USA.
Dimitris PlacantonakisDepartment of Neurosurgery, NYU Langone Health, New York, NY 10016, USA.
Franco MuggiaDepartment of Medical Oncology, NYU Langone Health, New York, NY 10016, USA.
NYU Langone Health · USGynecologic Oncology Group · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 66-year-old woman with a history of stage IA mixed endometrioid and serous endometrial cancer presented to our centre with 2 weeks of worsening headaches nearly 4 years after her initial surgery. At admission, she manifested bitemporal hemianopsia, difficulty walking and clinical and laboratory findings of panhypopituitarism, including diabetes insipidus. Magnetic resonance imaging of the brain revealed a 2.7 cm sellar/suprasellar mass compressing the optic chiasm and infiltrating the pituitary stalk. Computerised tomography documented mediastinal, lung, adrenal and liver involvement, including a 2.5 cm palpable left supraclavicular node that on excisional biopsy demonstrated metastatic endometrial adenocarcinoma. Due to the advanced stage of her cancer as well as the presence of multiple metastases, including lung and hepatic metastases causing post-obstructive pneumonia and coagulopathy, the sellar/suprasellar mass was treated with fractionated radiosurgery rather than surgical excision.

Indexed as

adenocarcinomaHER2/neumetastasespanhypopituitarismradiosurgerystage IA cancer

Identifiers

PMID32863877
PMCPMC7434505
OpenAlexW3046330011

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.