Evidence map›Paper›PMID 37728248›Full record

ArticleJournal of neurosurgery. Case lessons2023

Sellar atypical teratoid/rhabdoid tumor in adults: survival analysis of treatment strategies. Illustrative case.

K Walkiria Zamudio-Coronado, Youssef M Zohdy, Justin Maldonado, Gustavo Pradilla, Tomas Garzon-Muvdi

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

5 authors at 1 institution in 1 country.

K Walkiria Zamudio-Coronado
Youssef M Zohdy
Justin Maldonado
Gustavo Pradilla
Tomas Garzon-Muvdi
Emory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtypical teratoid/rhabdoid tumor (ATRT) is a rare, highly aggressive central nervous system tumor predominantly found in children. Limited information exists on ATRT in adults, posing challenges in diagnosis and treatment. This study presents the case of an adult patient with ATRT in the sellar region and explores the impact of different treatment regimens on patient survival. OBSERVATIONS: A 60-year-old female with an ATRT underwent resection of the tumor, followed by adjuvant chemoradiotherapy. Molecular genetic analysis revealed compound heterozygous SMARCB1 point mutations. Survival analysis was performed on previously published adult ATRT cases, comparing treatment approaches. The cohort's overall median survival was 6 months, with patients receiving combined chemoradiotherapy showing the longest median survival of 23.5 months. Statistical analysis demonstrated a significant difference in survival between patients treated with surgery alone and those receiving surgery followed by chemoradiotherapy (p < 0.001). However, no significant difference was observed between patients treated with surgery alone and those with postoperative radiotherapy (p = 0.105). LESSONS: Early initiation of adjuvant chemoradiotherapy following surgery improves survival outcomes in adult patients with ATRT. Because of limited data on standardized treatment protocols for adults with ATRT, further research and larger-scale studies are needed to establish effective treatment guidelines for this population.

Indexed as

adultATRTsellar ATRTsellar atypical teratoid/rhabdoid tumor

Identifiers

PMID37728248
PMCPMC10555614
OpenAlexW4386424904

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.