Evidence map›Paper›PMID 36722515›Full record

ReviewSingapore medical journal2023

Understanding cancer predisposition in Singapore: What's next.

Jianbang Chiang, Tarryn Shaw, Joanne Ngeow

Open access · diamondAbstract readReview
In one paragraph

Review in Singapore medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Genetics and genomics: A frontier for clinicians.Singapore medical journal · 2023
    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

3 authors at 2 institutions in 3 countries.

Jianbang ChiangCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore; Oncology Academic Clinical Program, Duke-NUS Medical School, Singapore.
Tarryn ShawCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore.
Joanne NgeowCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore; Oncology Academic Clinical Program, Duke-NUS Medical School; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Nanyang Technological University · SGNational Cancer Centre Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of an underlying genetic predisposition to cancer allows the use of personalised prognostic, preventive and therapeutic strategies for the patient and carries clinical implications for family members. Despite great progress, we identified six challenging areas in the management of patients with hereditary cancer predisposition syndromes and suggest recommendations to aid in their resolution. These include the potential for finding unexpected germline variants through somatic tumour testing, optimal risk management of patients with hereditary conditions involving moderate-penetrance genes, role of polygenic risk score in an under-represented Asian population, management of variants of uncertain significance, clinical trials in patients with germline pathogenic variants and technology in genetic counselling. Addressing these barriers will aid the next step forward in precision medicine in Singapore. All stakeholders in healthcare should be empowered with genetic knowledge to fully leverage the potential of novel genomic insights and implement them to provide better care for our patients.

Indexed as

NeoplasmsFamilyGenotypeHumansRisk FactorsSingaporeCancer geneticsgenetic testingprecision medicineSingapore

Identifiers

PMID36722515
PMCPMC9979800
OpenAlexW4318755055

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.