Evidence map›Paper›PMID 37377684›Full record

ArticleEcancermedicalscience2023

Lessons learnt from the clinico-genomic profiling of families with Li Fraumeni syndrome at a tertiary care centre in North India.

Ghazal Tansir, Sameer Rastogi, Sravan Kumar Dubasi, Sindhu Chitikela, Lavu Rohit Reddy, Adarsh Barwad, Ankur Goyal

Open access · goldAbstract read
In one paragraph

Article in Ecancermedicalscience, 2023. 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
0.7field-weighted citation impact, top 23% 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, 3 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.

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.
Sravan Kumar DubasiDepartment of Medical Oncology, All India Institute of Medical Sciences, New Delhi 110029, India.
Sindhu ChitikelaDepartment of Medical Oncology, All India Institute of Medical Sciences, New Delhi 110029, India.
Lavu Rohit ReddyDepartment of Medical Oncology, Yashoda Hospitals, Hyderabad, Telangana 500024, India.
Adarsh BarwadDepartment of Pathology, All India Institute of Medical Sciences, New Delhi 110029, India.
Ankur GoyalDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi 110029, India.
All India Institute of Medical Sciences · INYashoda Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Li Fraumeni syndrome (LFS) is an inherited cancer predisposition syndrome due to TP53 gene mutation. There is sparse literature on LFS in the Indian population. We conducted a retrospective study of patients diagnosed with LFS and their family members, registered at our Medical Oncology Department between September 2015 and 2022. 9 LFS families consisted of 29 patients diagnosed currently or historically with malignancies including 9 index cases and 20 first or second-degree relatives. Of these 29 patients, 7 (24.1%) patients developed their first malignancy before the age of 18 years, 15 (51.7%) were diagnosed between 18and and 60 years, and 7 (24.1%) were diagnosed at age more than 60 years. A total of 31 cancers occurred among the families, including 2 index cases who had metachronous malignancies. Each family had a median of three cancers (range 2-5); sarcoma (

Indexed as

genetic counsellinggenetic syndromeshereditary cancerssarcoma

Identifiers

PMID37377684
PMCPMC10292852
OpenAlexW4382293525

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.