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Impact of Disease Duration upon Symptom Burden Amongst Patients with Myeloproliferative Neoplasms (MPNs)

2015· article· en· W2593644059 on OpenAlexaff
Robyn M. Scherber, Holly L. Geyer, Claire Harrison, Heidi Kosiorek, Amylou C. Dueck, Jean‐Jacques Kiladjian, Stefanie Slot, Zhijian Xiao, Sonja Zweegman, Federico Sackmann, Ana Kerguelen Fuentes, Dolores Hernández‐Maraver, Konstanze Döhner, Deepti Radia, Pablo Muxí, Carlos Besses, Francisco Cervantes, Peter Johansson, Björn Andréasson, Alessandro Rambaldi, Tiziano Barbui, Karin Bonatz, Andreas Reiter, Françoise Boyer, Gabriel Étienne, Jean‐Christophe Ianotto, Dana Ranta, Jean Roy, Jean‐Yves Cahn, Norman I Maldonado, Giovanni Barosi, Maria Luisa Ferrari, Robert Peter Gale, Gunnar Birgegård, Zefeng Xu, Yu Zhang, Xiujuan Sun, Junqing Xu, Peihong Zhang, Peter A. te Boekhorst, Suzan Commandeur, Harry C. Schouten, Heike L. Pahl, Martin Grießhammer, Frank Stegelmann, Thomas Lehmann, Alessandro M. Vannucchi, Francesco Passamonti, Jan Samuelsson, Ruben A. Mesa

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineMyeloproliferative neoplasmMyelofibrosisPolycythemia veraEssential thrombocythemiaInternal medicineCohortAnemiaDiseaseLeukopeniaPediatricsBone marrow

Abstract

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Abstract Background: The Philadelphia chromosome negative myeloproliferative neoplasms (MPNs), including essential thrombocythemia (ET), polycythemia vera (PV) and myelofibrosis (MF) all have a time dependent risk of progression to either an advanced myelofibrotic state (post ET/PV MF) and/or to acute myeloid leukemia. The impact of disease duration upon the MPN symptom burden is not well understood, nor are the precise mechanisms of disease progression. We sought to better understand the impact of disease duration on MPN symptom burden. Methods: Symptom burden data was collected utilizing the Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF) amongst MPN patients, collected at the time of an office visit in an international cohort of MPN patients as previously described (Scherber et. al.). Symptom burden assessment was a previously validated 27-item symptom burden questionnaire scored on a 0-10 scale (0= as good as it can be, 10 = as bad as it could be). The patient or provider was asked to report the time since MPN diagnosis. MPN duration was determined to be early if the diagnosis was established between 0 to 5 years ago, intermediate if the diagnosis was established between 6 to 10 years ago, and late if the diagnosis was established 11 years ago or more. Anemia was defined as a red blood cell count less than 10 g/dL, leukopenia was defined as a white blood cell count was below 4 x 109, and thrombocytopenia if the platelet count was below 150 x109. Statistical significance was calculated using ANOVA f-test and chi squared. Results: Patient demographics and disease burden: A total of 1443 patients responded to the survey, including 592 (41%) ET, 549 (38%) PV, and 302 (21%) MF patients, including 181 (60%) primary MF, 67 (22%) post-ET MF, and 54 (18%) post-PV MF. Among MF patients, mean duration of MPN diagnosis was 9 years, and mean duration MF diagnosis was 4.7 years. Among respondents, 757 fit criteria for early disease duration, 353 fit criteria for intermediate disease duration, and 333 fit criteria for late disease duration. Respondent mean age was 62 years and approximately half of respondents were female (55%). Patients with longer diagnosis duration tended to be older (p=0.009) and were most likely to have anemia (0.02), leukopenia (p=0.01), or thrombocytopenia (p=0.03). These individuals were also most likely to have a history of hemorrhage (p=0.007) or require red blood cell transfusions (p<0.001). Combined cohort symptom burden: On average among the combined cohort of ET, PV and MF patients, symptoms tended to worsen with time with this effect being significant for symptom items of fatigue (BFI, p<0.04), concentration (p=0.007), insomnia (p=0.02), sexual difficulties (p=0.002), cough (p=0.03), night sweats (p=0.002), and pruritus (p=0.02). Symptoms of early satiety (p=0.004), concentration difficulties (p=0.01), insomnia (p=0.03), sexual difficulties (p=0.02), cough (p=0.01), and night sweats (p=<0.001) had significantly higher prevalence in those with longer disease duration. Similarly, the total calculated MPN-10 score (p=0.008) and quality of life assessment (0.03) demonstrated worsened outcomes with time (Table 1). No significant differences in symptoms for the combined cohort were observed among individuals diagnosed 0 to 1 years ago compared to those with a diagnosis established between 2 and 5 years ago. Symptom burden in MPN subtypes. When evaluating specific MPN types, patients with essential thrombocythemia experienced significantly greater sexual difficulties over time (p=0.03). The severity (p=0.01) and incidence (p=0.03) of pruritus and incidence of night sweats (p<0.001) were significantly increased over time for individuals with PV. For those with MF, the severity (p= 0.01) and incidence (p=0.009) of cough also significantly increased with longer diagnosis duration. Discussion Overall, significant worsening in symptom burden can be recognized over time for individuals diagnosed with MPNs. Diagnosis may not necessarily correlate with disease duration as the timing of diagnosis may be delayed from onset of disease. Given the intent of this abstract to evaluate changes with disease duration, we did not investigate correlations between symptom burden and cytopenias. We do know that risk factors for survival in the MPNs include older age and thrombosis, however, disease duration should be investigated as an alternative marker of burden in future survival studies. Disclosures Harrison: CTI Biopharma: Consultancy, Honoraria, Speakers Bureau; Shire: Speakers Bureau; Gilead: Honoraria; Novartis: Honoraria, Research Funding, Speakers Bureau; Sanofi: Honoraria, Speakers Bureau. Kiladjian:Incyte Corporation: Consultancy; Novartis: Other: Travel grant; Research Funding paid to institution (Hôpital Saint-Louis et Université Paris Diderot); Novartis: Consultancy. Zweegman:Celgene: Research Funding; Janssen: Research Funding; Takeda: Research Funding. Barbui:Novartis: Speakers Bureau. Etienne:Novartis: Consultancy, Honoraria, Other: Congress Travel/Accomodations, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; ARIAD: Consultancy, Honoraria, Speakers Bureau. te Boekhorst:CTI Biopharma: Consultancy; Novartis: Consultancy. Vannucchi:Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Other: Research Funding paid to institution (University of Florence), Research Funding; Shire: Speakers Bureau; Baxalta: Membership on an entity's Board of Directors or advisory committees. Mesa:Novartis. Research- incyte, Gilead, cti, Genentech, promedior, NS Pharma: Consultancy.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.012
GPT teacher head0.260
Teacher spread0.248 · 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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Citations5
Published2015
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