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AzTrials

Hematopoietic MalignancyNCT03434561

Comparing Different Methods for Collection of Comorbidity Data Per the HCT-CI

An observational study of Hematopoietic Malignancy, run by Fred Hutchinson Cancer Center at 1 site in United States.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

Comorbidity assessment in the field of HCT might be a burden on the medical team at the clinic or the research staff. This research study aims to explore and validate new methods, Claims-based and patient questionnaire-based, as alternatives to the standard chart-based method in order to facilitate comorbidity coding. Read more about this study

Who is it for?
Ages 20 years and older
Conditions the study is for
Hematopoietic Malignancy
How many people
360 participants
Where
1 siteUnited States
Study dates
22 Mar 2013to Jun 2016
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 20 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: Patients diagnosed with hematological malignancies who are being treated with allogeneic hematopoietic cell transplantation (HCT) at the Seattle Cancer Care Alliance

Who may be able to join

  • Patients eligible for autologous or allogeneic HCT.
  • Able to speak and read English.
  • Willing and able to provide informed consent.
  • There is no restriction based on diagnosis, intensity of conditioning regimen, type of donor graft, degree of HLA-matching, or stem cell source.
  • Patients >20 years old
  • Access to a telephone for study-related communications.

Who cannot join

  • HCT candidates who cannot read, write, or speak English.
  • Patients <20 years old

Trial locations and contacts

1 site in 1 country.

United States1 site

  • Fred Hutchinson Cancer Research Center

    Seattle, Washington, 98109

Other trials in United States

About this study

Official title: Comparing Different Methods for Collection of Comorbidity Data Per the Hematopoietic Cell Transplantation Comorbidity Index (HCT-CI)

Comorbidity assessment in the field of HCT might be a burden on the medical team at the clinic or the research staff. This research study aims to explore and validate new methods, Claims-based and patient questionnaire-based, as alternatives to the standard chart-based method in order to facilitate comorbidity coding. The study aims to save time and effort of medical personnel and to ensure the inclusion of comorbidity information in all clinical trials and outcome research studies in order to improve the accuracy of treatment decision-making, patient assignment to appropriate HCT strategy and hence HCT outcomes.

Read the detailed description

Studies have shown the importance of pre-transplant comorbidities in predicting mortality after allogeneic HCT.

However, comorbidity assessment might be a burden on the medical team at the clinic or the research staff. This research study aims to explore and validate new methods as alternatives to the standard chart-based method in order to facilitate comorbidity coding. The study aims to save time and effort of medical personnel and to ensure the inclusion of comorbidity information in all clinical trials and outcome research studies in order to improve the accuracy of treatment decision-making, patient assignment to appropriate HCT strategy and hence HCT outcomes.

This study will investigate two parallel approaches aimed at simplifying comorbidity assessment and thereby facilitating wide-spread use of the HCT-CI. Patient questionnaire-based and Claims-based methods will be tested as possible alternative to the Chart-based method. primary outcome is prediction of non-relapse mortality. It is expected that once this method of comorbidity coding is validated, it will benefit physicians in non-academic institutions and community clinics.

Keywords
hematopoietic stem cell transplantation
Medical subject headings
Hematologic Neoplasms

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Compare the rate of agreement on HCT-CI scores between 3 measures

    3 measures: the questionnaire-based and the claims-based methods versus the chart-based method.

    Measured: 2 years

Secondary outcomes (1)

  1. Assess the accuracy of predicting HCT outcomes and resource utilization (e.g., hospitalization) between the three methods of scoring

    Measured: 2 years

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted15 Feb 2018
  2. Study start22 Mar 2013
  3. Primary completionJun 2016
  4. Study completionJun 2016

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
360 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT03434561
Sponsor's protocol ID
2650
Other IDs
4R00HL088021-03
Status last verified
May 2018
First submitted
9 Feb 2018
Last updated
31 May 2023
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Publications

  • Sorror ML, Maris MB, Storer B, Sandmaier BM, Diaconescu R, Flowers C, Maloney DG, Storb R. Comparing morbidity and mortality of HLA-matched unrelated donor hematopoietic cell transplantation after nonmyeloablative and myeloablative conditioning: influence of pretransplantation comorbidities. Blood. 2004 Aug 15;104(4):961-8. doi: 10.1182/blood-2004-02-0545. Epub 2004 Apr 27.

    PubMed 15113759

  • Diaconescu R, Flowers CR, Storer B, Sorror ML, Maris MB, Maloney DG, Sandmaier BM, Storb R. Morbidity and mortality with nonmyeloablative compared with myeloablative conditioning before hematopoietic cell transplantation from HLA-matched related donors. Blood. 2004 Sep 1;104(5):1550-8. doi: 10.1182/blood-2004-03-0804. Epub 2004 May 18.

    PubMed 15150081

  • Piccirillo JF, Vlahiotis A, Barrett LB, Flood KL, Spitznagel EL, Steyerberg EW. The changing prevalence of comorbidity across the age spectrum. Crit Rev Oncol Hematol. 2008 Aug;67(2):124-32. doi: 10.1016/j.critrevonc.2008.01.013. Epub 2008 Mar 28.

    PubMed 18375141

  • Gloeckler Ries LA, Reichman ME, Lewis DR, Hankey BF, Edwards BK. Cancer survival and incidence from the Surveillance, Epidemiology, and End Results (SEER) program. Oncologist. 2003;8(6):541-52. doi: 10.1634/theoncologist.8-6-541.

    PubMed 14657533

  • McClune BL, Weisdorf DJ, Pedersen TL, Tunes da Silva G, Tallman MS, Sierra J, Dipersio J, Keating A, Gale RP, George B, Gupta V, Hahn T, Isola L, Jagasia M, Lazarus H, Marks D, Maziarz R, Waller EK, Bredeson C, Giralt S. Effect of age on outcome of reduced-intensity hematopoietic cell transplantation for older patients with acute myeloid leukemia in first complete remission or with myelodysplastic syndrome. J Clin Oncol. 2010 Apr 10;28(11):1878-87. doi: 10.1200/JCO.2009.25.4821. Epub 2010 Mar 8.

    PubMed 20212255

  • van Spronsen DJ, Janssen-Heijnen ML, Lemmens VE, Peters WG, Coebergh JW. Independent prognostic effect of co-morbidity in lymphoma patients: results of the population-based Eindhoven Cancer Registry. Eur J Cancer. 2005 May;41(7):1051-7. doi: 10.1016/j.ejca.2005.01.010.

    PubMed 15862755

  • Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. doi: 10.1016/0021-9681(87)90171-8.

    PubMed 3558716

  • Di Iorio B, Cillo N, Cirillo M, De Santo NG. Charlson Comorbidity Index is a predictor of outcomes in incident hemodialysis patients and correlates with phase angle and hospitalization. Int J Artif Organs. 2004 Apr;27(4):330-6. doi: 10.1177/039139880402700409.

    PubMed 15163067

  • Goldstein LB, Samsa GP, Matchar DB, Horner RD. Charlson Index comorbidity adjustment for ischemic stroke outcome studies. Stroke. 2004 Aug;35(8):1941-5. doi: 10.1161/01.STR.0000135225.80898.1c. Epub 2004 Jul 1.

    PubMed 15232123

  • Hemmelgarn BR, Manns BJ, Quan H, Ghali WA. Adapting the Charlson Comorbidity Index for use in patients with ESRD. Am J Kidney Dis. 2003 Jul;42(1):125-32. doi: 10.1016/s0272-6386(03)00415-3.

    PubMed 12830464

  • Sachdev M, Sun JL, Tsiatis AA, Nelson CL, Mark DB, Jollis JG. The prognostic importance of comorbidity for mortality in patients with stable coronary artery disease. J Am Coll Cardiol. 2004 Feb 18;43(4):576-82. doi: 10.1016/j.jacc.2003.10.031.

    PubMed 14975466

  • Lubke T, Monig SP, Schneider PM, Holscher AH, Bollschweiler E. [Does Charlson-comorbidity index correlate with short-term outcome in patients with gastric cancer?]. Zentralbl Chir. 2003 Nov;128(11):970-6. doi: 10.1055/s-2003-44805. German.

    PubMed 14669119

  • Firat S, Byhardt RW, Gore E. Comorbidity and Karnofksy performance score are independent prognostic factors in stage III non-small-cell lung cancer: an institutional analysis of patients treated on four RTOG studies. Radiation Therapy Oncology Group. Int J Radiat Oncol Biol Phys. 2002 Oct 1;54(2):357-64. doi: 10.1016/s0360-3016(02)02939-5.

    PubMed 12243808

  • Sabin SL, Rosenfeld RM, Sundaram K, Har-el G, Lucente FE. The impact of comorbidity and age on survival with laryngeal cancer. Ear Nose Throat J. 1999 Aug;78(8):578, 581-4.

    PubMed 10485151

  • Singh B, Bhaya M, Stern J, Roland JT, Zimbler M, Rosenfeld RM, Har-El G, Lucente FE. Validation of the Charlson comorbidity index in patients with head and neck cancer: a multi-institutional study. Laryngoscope. 1997 Nov;107(11 Pt 1):1469-75. doi: 10.1097/00005537-199711000-00009.

    PubMed 9369392

Questions about this trial

What is this clinical trial studying?

An observational study of Hematopoietic Malignancy, run by Fred Hutchinson Cancer Center at 1 site in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 6 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 31 May 2023. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Compare the rate of agreement on HCT-CI scores between 3 measures (time frame: 2 years). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT03434561, which also lists 20 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 31 May 2023.

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