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Quality of Life Following Completion of Treatment for Adult Acute Lymphoblastic Leukemia with a Pediatric-Based Protocol.

2012· article· en· W2583021479 on OpenAlexaff
Elena Liew, Eshetu G. Atenafu, Shabbir M.H. Alibhai, Joseph Brandwein

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineQuality of life (healthcare)PopulationPediatricsPhysical therapyCancerInternal medicine

Abstract

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Abstract Abstract 2567 Background: The use of pediatric-based protocols in the management of adult acute lymphoblastic leukemia (ALL) appears to result in improved survival, particularly in young adults. However, significant treatment-related toxicities have been identified with these regimens, including osteonecrosis and peripheral neuropathy. These are potentially disabling and can adversely affect quality of life (QoL); however, the long-term impact of such treatment regimens on health-related QoL in this adult population has not previously been reported. We therefore aimed to assess various dimensions of QoL in long-term survivors of adult ALL following treatment with a modified Dana Farber Cancer Institute 91-01 pediatric protocol, which is used as standard frontline therapy in our institution. Methods: QoL was self-reported using 5 psychometrically validated instruments: the EORTC QLQ-C30, the Functional Assessment of Cancer Therapy fatigue subscale (FACT-F), the Brief Pain Inventory, the Subjective Peripheral Neuropathy Screen (SPSS), and the 9-item Patient-Health Questionnaire (PHQ-9). Standard analyses of each instrument were conducted. Where available, results were compared to published population normative data. Results: 29 patients (median age 41 years, range 21–64, 90% male), in continuous complete remission at a median of 28 months following completion of the two-year treatment protocol, were enrolled between March 2010 - April 2012. In comparison to reference data from a general population, the mean global health score on the EORTC QLQ-C30 was similar (p=0.68), but leukemia survivors had lower cognitive (p<0.001) and social (p<0.001) function scores, as well as more marked financial difficulty (p<0.001). The most prevalent and severe of the symptom items assessed by the EORTC QLQ-C30 were fatigue and pain, both of which showed significant inverse correlation with global health status and all functional scales (physical, role, emotional, cognitive, and social). Some degree of fatigue was reported by 83% of patients. Evaluation by FACT-F revealed worse fatigue scores for leukemia survivors compared with the general population (p=0.03). Mean pain intensity was higher in those more than 24 months from completion of treatment, vs. < 24 months (p=0.04). In the 9 patients (31%) experiencing moderate-severe pain, the most common sites were joints and neck/back. Of the 10 patients reporting regular use of analgesics, 4 were using opioids. The SPSS identified 12 patients (43%) with moderate or severe symptoms associated with peripheral neuropathy (burning, paraesthesias and/or numbness), mostly affecting the lower extremities. Neuropathy was more severe in patients over age 40 (p<0.01). The PHQ-9 identified 4 patients (14%) with significant depressive symptoms. Conclusions: Long-term adult ALL survivors who were treated with a pediatric-based regimen generally do well in terms of global QoL. However, fatigue, joint-related pain and neuropathy symptoms are common and can negatively affect QoL. Impairments in the domains of cognitive function and social function, as well as the prominence of financial hardship in this population, are findings that warrant further exploration. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.337
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2012
Admission routes1
Has abstractyes

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