Evidence map›Paper›PMID 39430097›Full record

ArticleEcancermedicalscience2024

Primary thoracic synovial sarcomas: clinical profile and treatment outcomes of a rare entity managed at a tertiary care centre.

Ghazal Tansir, Sameer Rastogi, Ekta Dhamija, Shamim Ahmed Shamim, Deepali Jain, Adarsh Barwad, Sunil Kumar, Rambha Pandey

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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. 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

8 authors.

Ghazal TansirDepartment of Medical Oncology, All India Institute of Medical Sciences, New Delhi 110029, India.
Sameer RastogiDepartment of Medical Oncology, All India Institute of Medical Sciences, New Delhi 110029, India.
Ekta DhamijaDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi 110029, India.
Shamim Ahmed ShamimDepartment of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi 110029, India.
Deepali JainDepartment of Pathology, All India Institute of Medical Sciences, New Delhi 110029, India.
Adarsh BarwadDepartment of Pathology, All India Institute of Medical Sciences, New Delhi 110029, India.
Sunil KumarDepartment of Surgical Oncology, All India Institute of Medical Sciences, New Delhi 110029, India.
Rambha PandeyDepartment of Radiation Oncology, All India Institute of Medical Sciences, New Delhi 110029, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Primary thoracic synovial sarcoma (PTSS) is a rare malignancy presenting with varying clinical manifestations. There is a paucity of data with few studies dedicated to this unique subset of neoplasms. We present our findings from one of the largest real-world studies among patients with PTSS. Methods: This is a single-centre, real-world study in patients with PTSS included between 2017 and 2023. Survival estimates were obtained by the Kaplan-Meier method and Cox regression analysis. Results: 24 patients with a median age of 34.5 years (range 16-54) presented with chest pain ( Interpretation: The locally advanced nature of the disease at presentation signifies the need for early diagnosis and technically superior definitive therapies. The survival outcomes for metastatic disease remain poor and the need for novel therapies for advanced disease remains unmet so far. Clinical trial registration: Not applicable.

Indexed as

multidisciplinary treatmentprimary thoracic sarcomasynovial sarcomathoracic oncology

Identifiers

PMID39430097
PMCPMC11489092

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.