Evidence map›Paper›PMID 41674547›Full record

ArticleInternational journal of population data science2023

Data resource profile: The Life and health After Childhood cancEr (LACE) project.

Heather J Baldwin, Sarah Pont, Anne Currell, Laura Newey, Danny R Youlden, Natalie Bradford, Peter D Baade, Joanne F Aitken, Jason D Pole, Natasha Nassar

Abstract read
In one paragraph

Article in International journal of population data science, 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
–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

0 citing papers in PubMed.

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

10 authors.

Heather J BaldwinChild Population and Translational Health Research, Children's Hospital at Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, 1 King St, Newtown, NSW, Australia 2042.
Sarah PontChild Population and Translational Health Research, Children's Hospital at Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, 1 King St, Newtown, NSW, Australia 2042.
Anne CurrellViertel Cancer Research Centre, Cancer Council Queensland, 553 Gregory Terrace, Fortitude Valley, QLD, Australia, 4006.
Laura NeweyViertel Cancer Research Centre, Cancer Council Queensland, 553 Gregory Terrace, Fortitude Valley, QLD, Australia, 4006.
Danny R YouldenViertel Cancer Research Centre, Cancer Council Queensland, 553 Gregory Terrace, Fortitude Valley, QLD, Australia, 4006.
Natalie BradfordViertel Cancer Research Centre, Cancer Council Queensland, 553 Gregory Terrace, Fortitude Valley, QLD, Australia, 4006.
Peter D BaadeViertel Cancer Research Centre, Cancer Council Queensland, 553 Gregory Terrace, Fortitude Valley, QLD, Australia, 4006.
Joanne F AitkenViertel Cancer Research Centre, Cancer Council Queensland, 553 Gregory Terrace, Fortitude Valley, QLD, Australia, 4006.
Jason D PoleCentre for Health Services Research, The University of Queensland, 34 Cornwall St, Woolloongabba, QLD, 4102.
Natasha NassarChild Population and Translational Health Research, Children's Hospital at Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, 1 King St, Newtown, NSW, Australia 2042.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In Australia, around 85% of children survive childhood cancer. Yet, up to 80% of survivors experience subsequent adverse health conditions called late effects, largely attributed to cancer treatment. The LACE study is a population-based linked data resource that aims to facilitate the investigation of childhood cancer and its treatment and the impact on late effects for childhood cancer survivors. Methods: The study links the Australian Childhood Cancer Registry to administrative cross-jurisdictional health and education data to enable ongoing follow-up of outcomes for childhood cancer survivors. The study population includes all Australian children aged less than 15 years, diagnosed with cancer 1983-2021, and comparison groups comprising siblings of childhood cancer patients and a random sample of children from the general population frequency matched by age, sex and residential location to cases. Results: To date, the case cohort includes 25,226 children diagnosed with cancer, with longest follow-up to the age of 53 years. The most commonly diagnosed childhood cancers were leukaemia and related cancers (n=8182, 32.4%), followed by central nervous system and related cancers (n=5850, 23.2%), and lymphomas and reticuloendothelial neoplasms (n=2568, 10.2%). Overall, 16,314 (64.7%) children underwent chemotherapy, 5555 (22.0%) received radiotherapy and 7300 (28.9%) had surgical treatment for their cancer, with immunotherapy use reported for 641 (2.5%), hormonal therapy for 4549 (18.0%) and ancillary therapies for 2581 (10.2%). A total of 19,321 (76.6%) cases were alive at the end of the study. Conclusion: This new comprehensive national data linkage resource represents a valuable asset that will facilitate research to identify the risk of late effects and effective follow-up care to inform counselling patients and their families, as well as guidelines, models of care and personalised follow-up care plans. Further, it will enable identification of inequities in healthcare access and outcomes across population sub-groups.

Indexed as

Cancer SurvivorsNeoplasmsAdolescentAustraliaChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleRegistrieschemotherapylate effectslinked dataoutcomespopulation-basedpopulation datatreatment effects

Identifiers

PMID41674547
PMCPMC12887628

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.