Evidence map›Paper›PMID 38570510›Full record

ArticleNPJ genomic medicine2024

Strategies to improve implementation of cascade testing in hereditary cancer syndromes: a systematic review.

Jianbang Chiang, Ziyang Chua, Jia Ying Chan, Ashita Ashish Sule, Wan Hsein Loke, Elaine Lum, Marcus Eng Hock Ong, Nicholas Graves, Joanne Ngeow

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Review
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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

9 authors at 5 institutions in 1 country.

Jianbang ChiangCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore.ORCID http://orcid.org/0000-0002-3109-2839
Ziyang ChuaCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore.ORCID http://orcid.org/0000-0003-2903-5779
Jia Ying ChanLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Singapore.
Ashita Ashish SuleYong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.ORCID http://orcid.org/0009-0001-7155-3708
Wan Hsein LokeYong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.ORCID http://orcid.org/0000-0002-4846-3464
Elaine LumHealth Services & Systems Research, Duke-NUS Medical School, Singapore, 169857, Singapore.ORCID http://orcid.org/0000-0002-0853-3018
Marcus Eng Hock OngHealth Services & Systems Research, Duke-NUS Medical School, Singapore, 169857, Singapore.
Nicholas GravesHealth Services & Systems Research, Duke-NUS Medical School, Singapore, 169857, Singapore.
Joanne NgeowCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore. joanne.ngeow@ntu.edu.sg.ORCID http://orcid.org/0000-0003-1558-3627
Duke-NUS Medical School · SGNanyang Technological University · SGNational University of Singapore · SGNational Cancer Centre Singapore · SGSingapore General Hospital · SG

Funding

National Cancer Centre of Singapore (National Cancer Centre of Singapore Pte Ltd.) NCCRF-YR2018-NOV-1National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) MOH-000654National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) NMRC/CSA-INV/0017/2017,
6 · The paper itself

Abstract

Hereditary cancer syndromes constitute approximately 10% of all cancers. Cascade testing involves testing of at-risk relatives to determine if they carry the familial pathogenic variant. Despite growing efforts targeted at improving cascade testing uptake, current literature continues to reflect poor rates of uptake, typically below 30%. This study aims to systematically review current literature on intervention strategies to improve cascade testing, assess the quality of intervention descriptions and evaluate the implementation outcomes of listed interventions. We searched major databases using keywords and subject heading of "cascade testing". Interventions proposed in each study were classified according to the Effective Practice and Organization of Care (EPOC) taxonomy. Quality of intervention description was assessed using the TIDieR checklist, and evaluation of implementation outcomes was performed using Proctor's Implementation Outcomes Framework. Improvements in rates of genetic testing uptake was seen in interventions across the different EPOC taxonomy strategies. The average TIDieR score was 7.3 out of 12. Items least reported include modifications (18.5%), plans to assess fidelity/adherence (7.4%) and actual assessment of fidelity/adherence (7.4%). An average of 2.9 out of 8 aspects of implementation outcomes were examined. The most poorly reported outcomes were cost, fidelity and sustainability, with only 3.7% of studies reporting them. Most interventions have demonstrated success in improving cascade testing uptake. Uptake of cascade testing was highest with delivery arrangement (68%). However, the quality of description of interventions and assessment of implementation outcomes are often suboptimal, hindering their replication and implementation downstream. Therefore, further adoption of standardized guidelines in reporting of interventions and formal assessment of implementation outcomes may help promote translation of these interventions into routine practice.

Identifiers

PMID38570510
PMCPMC10991315
OpenAlexW4393863271

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.