Evidence map›Paper›PMID 38865710›Full record

ArticleBlood advances2024

Cumulative incidence estimates for solid tumors after HCT in the CIBMTR and California Cancer Registry.

Sara J Schonfeld, Bryan Valcarcel, Christa L Meyer, Bronwen E Shaw, Rachel Phelan, J Douglas Rizzo, Ann Brunson, Julianne J P Cooley, Renata Abrahão, Ted Wun and 10 more

Abstract read
In one paragraph

Article in Blood advances, 2024. 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

20 authors.

Sara J SchonfeldDivision of Cancer Epidemiology and Genetics, National Institutes of Health, Department of Health and Human Services, National Cancer Institute, Bethesda, MD.ORCID 0000-0002-4368-4647
Bryan ValcarcelDivision of Cancer Epidemiology and Genetics, National Institutes of Health, Department of Health and Human Services, National Cancer Institute, Bethesda, MD.ORCID 0000-0003-3853-2603
Christa L MeyerCenter for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN.ORCID 0000-0003-2660-2344
Bronwen E ShawDepartment of Medicine, Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI.
Rachel PhelanDepartment of Medicine, Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI.
J Douglas RizzoDepartment of Medicine, Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI.ORCID 0000-0003-1474-1152
Ann BrunsonDivision of Hematology and Oncology, Center for Oncology and Hematology Outcomes Research and Training, University of California Davis Comprehensive Cancer Center, Sacramento, CA.ORCID 0000-0001-5308-9457
Julianne J P CooleyCalifornia Cancer Reporting and Epidemiologic Surveillance Program, University of California Davis Comprehensive Cancer Center, Sacramento, CA.ORCID 0000-0002-3441-897X
Renata AbrahãoDivision of Hematology and Oncology, Center for Oncology and Hematology Outcomes Research and Training, University of California Davis Comprehensive Cancer Center, Sacramento, CA.ORCID 0000-0002-1644-0313
Ted WunDivision of Hematology and Oncology, Center for Oncology and Hematology Outcomes Research and Training, University of California Davis Comprehensive Cancer Center, Sacramento, CA.ORCID 0000-0001-6383-7172
Shahinaz M GadallaDivision of Cancer Epidemiology and Genetics, National Institutes of Health, Department of Health and Human Services, National Cancer Institute, Bethesda, MD.ORCID 0000-0002-3255-8143
Eric EngelsDivision of Cancer Epidemiology and Genetics, National Institutes of Health, Department of Health and Human Services, National Cancer Institute, Bethesda, MD.ORCID 0000-0003-0203-6958
Paul S AlbertDivision of Cancer Epidemiology and Genetics, National Institutes of Health, Department of Health and Human Services, National Cancer Institute, Bethesda, MD.
Rafeek YusufCenter for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN.ORCID 0000-0003-3669-0210
Stephen R SpellmanCenter for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN.ORCID 0000-0002-7271-8252
Rochelle E CurtisDivision of Cancer Epidemiology and Genetics, National Institutes of Health, Department of Health and Human Services, National Cancer Institute, Bethesda, MD.ORCID 0000-0002-7883-5652
Jeffery J AulettaCenter for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN.ORCID 0000-0002-1515-2141
Lori MufflyDivision of Blood and Marrow Transplantation & Cellular Therapy, Stanford University, Stanford, CA.ORCID 0000-0002-9887-6136
Theresa H M KeeganDivision of Hematology and Oncology, Center for Oncology and Hematology Outcomes Research and Training, University of California Davis Comprehensive Cancer Center, Sacramento, CA.ORCID 0000-0002-1961-4008
Lindsay M MortonDivision of Cancer Epidemiology and Genetics, National Institutes of Health, Department of Health and Human Services, National Cancer Institute, Bethesda, MD.ORCID 0000-0001-9767-2310

Funding

Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
Studies of Populations Exposed to Therapeutic Medical Radiation and Other AgentsZIACP010131 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MORTON, LINDSAY · 2009 to 2025
$81.0M
NCCDPHP CDC HHS NU58DP006344NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA093373NCI NIH HHS U24 CA076518
6 · The paper itself

Abstract

abstractCompared with the general population, hematopoietic cell transplantation (HCT) survivors are at elevated risk for developing solid subsequent neoplasms (SNs). The Center for International Blood and Marrow Transplant Research (CIBMTR) is a key resource for quantifying solid SN incidence following HCT, but the completeness of SN ascertainment is uncertain. Within a cohort of 18 450 CIBMTR patients linked to the California Cancer Registry (CCR), we evaluated the completeness of solid SN data reported to the CIBMTR from 1991 to 2018 to understand the implications of using CIBMTR data alone or combined with CCR data to quantify the burden of solid SNs after HCT. We estimated the cumulative incidence of developing a solid SN, accounting for the competing risk of death. Within the cohort, solid SNs were reported among 724 patients; 15.6% of these patients had an SN reported by CIBMTR only, 36.9% by CCR only, and 47.5% by both. The corresponding cumulative incidence of developing a solid SN at 10 years following a first HCT was 4.0% (95% confidence interval [CI], 3.5-4.4) according to CIBMTR data only, 5.3% (95% CI, 4.9-5.9) according to CCR data only, and 6.3% (95% CI, 5.7-6.8) according to both sources combined. The patterns were similar for allogeneic and autologous HCT recipients. Linking detailed HCT information from CIBMTR with comprehensive SN data from cancer registries provides an opportunity to optimize SN ascertainment for informing follow-up care practices and evaluating risk factors in the growing population of HCT survivors.

Indexed as

Hematopoietic Stem Cell TransplantationNeoplasmsRegistriesAdolescentAdultAgedCaliforniaChildFemaleHumansIncidenceMaleMiddle AgedYoung Adult

Identifiers

PMID38865710
PMCPMC11342185

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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.