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09 / Optimal dose horse antithymocyte globulin for the treatment of adult patients with aplastic anemia: a p rospective randomized comparative study

2018· preprint· en· W4213257203 on OpenAlexaboutno aff
Fidarova Zalina

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsAplastic anemiaHorseMedicineGlobulinRandomized controlled trialInternal medicineImmunologyBiology

Abstract

fetched live from OpenAlex

ASSESSMENT OF SYMPTOM BURDEN AMONG PATIENTS DIAGNOSED WITH MULTIPLE MYELOMA (MM) ADMITTED TO RECEIVE CHEMOTHERAPY AT THE INSTITUTE FOR ONCOLOGY AND RADIOLOGY OF SERBIA (IORS)F. Djordjevic 1, N.Stanic11Institute of Oncology and Radiology of Serbia, Belgrade, SerbiaKEY WORDS: multiple myeloma, symptom burden, The Edmonton Symptom Assessment System (ESAS)IntroductionPatients with MM represent a vulnerable population of patients who may experience a range of symptoms induced by cancer or its treatment. The data describing the incidence and severity of symptoms before, during and after chemotherapy are lacking. Better description of symptom burden will enable individual, symptom-based tailoring of anti-cancer treatment. Better patient education to report symptoms leads to better symptom management, and improvement in quality of life. ObjectivesThe objective of this paper is to assess the symptom burden using the Edmonton Symptom Assessment System (ESAS) in patients with MM, who were scheduled to receive first cycle of chemotherapy at the IORS.AimsTo improve symptom control for patients with MM.MethodsESAS questionnaire (Edmonton system assessment scale) is designed to assist in the assessment of the most frequent symptoms in patients with advanced cancer, namely: pain, tiredness, nausea, depression, anxiety, drowsiness, loss of appetite, shortness of breath, overall well-being. The severity at the time of assessment of each symptom is rated from 0 to 10 on a numerical scale; with 0 meaning that the symptom is absent and 10 that it is the worst possible severity. ESAS was used to assess symptoms in patients with MM who were admitted to start chemotherapy at the IORS for the first time. Descriptive statistics methods were used to analyze collected data.ResultsESAS records were collected from 20 patients (11 male and 9 female) with the median age of 63 years (range 41-80). Majority of patients (90%) had performance status (PS) of 2. All nine ESAS symptoms were reported as moderate to severe (more than 4/10) by majority of patients with mean scores of 5.46, 4.71, 5.80, 4.01, 6.03, 7.02, 4.04, 7.19, 7.06 for pain, nausea, lack of appetite, shortness of breath, fatigue, depression, drowsiness, anxiety and well-being, respectively.ConclusionsHospitalized patients with MM experience substantial physical and psychological symptoms. There is a concerning proportion of reported depression and anxiety. Our data demonstrate the need for efforts to alleviate the physical symptoms experienced by this population, while also seeking to understand and address their psychological needs. Our research supports use of ESAS as a useful, easy and not time-consuming screening tool for symptom burden. Further research will be conducted in order to examine the impact of ESAS in treatment decision-making process.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.305
Teacher spread0.282 · 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 designRandomized trial
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
Published2018
Admission routes1
Has abstractyes

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