Patient-reported symptom burden of chronic graft versus host disease: a systematic literature review
Bibliographic record
Abstract
INTRODUCTION: Chronic graft-versus-host disease (GVHD) is a life-threating complication of allogeneic hematopoietic stem cell transplantation (HSCT) leading to high morbidity and quality of life issues. We conducted a systematic literature review on the patient reported symptom burden of chronic GVHD. AREAS COVERED: English-language articles published between 2005 and November 2018 were searched using CENTRAL, EMBASE and MEDLINE. Studies that used the 2005 or 2015 National Institute of Health consensus criteria for the diagnosis and staging of chronic GVHD were included. EXPERT OPINION: Patient reported symptom burden was widely assessed in the literature (n = 38). The Lee Chronic GVHD Symptom Scale was the most frequently used instrument (n = 28), followed by the NIH Patient-reported Symptom scores (n = 11). Association of symptom burden with clinical outcome assessment endpoints (e.g. mortality) and with quality of life measures was investigated by fairly low number of studies with limited generalizability. By systematically investigating the influencing factors of symptom burden this review helps to better understand patients' perceptions and may help improving the management and care of chronic GVHD. However, data on influencing factors was quite diverse, which indicates that specific questions identified as research gaps need to be incorporated in randomized clinical trials in a more systematic way.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".