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Enregistrement W4417015925 · doi:10.1182/blood-2025-6165

Utility of diagnostic bone marrow examinations for cytopenias and impact on clinical management: A practice audit

2025· article· en· W4417015925 sur OpenAlexaffabout
Nina Castrogiovanni, Beau Bouliane, Hanan Gerges, Jeffery M. Patterson, Cynthia Wu, Nancy Zhu, Haowei Sun

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueHematological disorders and diagnostics
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésCytopeniaMalignancyRetrospective cohort studyHematologic malignancyClinical significanceCohortLogistic regressionKidney diseaseBone marrow examinationBone marrow

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Bone marrow examination (BME) is frequently performed for unexplained cytopenias, with wide variations in clinical threshold across centres. Careful patient assessment and clinical judgment are essential to avoid over-use of BME, which may impose burden on patients, clinicians and the healthcare system. There is scarce data examining the clinical significance of abnormal BME findings, and whether they would change clinical management. Aims: 1) To examine the diagnostic yield of BMEs for cytopenias, and predictors of positive findings 2) To evaluate the proportion of diagnostic marrows that led to changes in clinical management. Methods: In this retrospective cohort study, we identified consecutive BMEs evaluated by the Department of Pathology at the University of Alberta Hospital (2022-2023), a tertiary centre in Northern Alberta (population >2 million). Only diagnostic marrows for undifferentiated cases were included. BMEs procured for staging, remission assessment, and confirmation of suspected hematologic malignancy (e.g. circulating blasts, JAK2 or BCR-ABL1 positive) were excluded. We collected clinical and laboratory characteristics, indication for BME, factors associated with cytopenia (e.g. liver cirrhosis, chronic kidney disease [CKD], chemotherapy, immunosuppressive therapy), and clinical management. Two hematologists independently reviewed each case, and adjudicated whether the BME changed management. Logistic regression was used to assess predictors of abnormal BME. This study was approved by the University of Alberta Health Research Ethics Board. Results: Of 544 BMEs reviewed, 223 (41%) were first-time BMEs. Indications for first-time marrows included: undifferentiated (107; 48%), suspected hematologic malignancy (106; 48%), staging or remission assessment (11; 5%). Among 107 undifferentiated cases, 94 (88%) BME were performed in outpatient settings. Patients experienced prolonged cytopenias or cytoses prior to BME (median 2.0 years, interquartile range [IQR] 0.3-5.8), with a short interval from hematology consult to BME (median 1 month, IQR 0-4). The most common indications were: bi- or pancytopenia (50; 47%), normocytic or macrocytic anemia (28; 26%), elevated counts with negative or unknown JAK2 or BCR-ABL1 mutation (21; 20%), lymphadenopathy or splenomegaly (14; 13%), monocytosis (11; 10%), constitutional symptoms or fever of unknown origin (6; 5%), isolated neutropenia (5; 5%), and autoimmune cytopenia (5; 5%). Among the 79 cases with cytopenia and/or macrocytosis, concomitant factors were common, including systemic autoimmune disorders (16; 20%), stage 3-5 CKD (9; 11%), active cancer (8; 10%), and immunosuppressive therapy (7; 9%). Hematologic profile showed a median hemoglobin of 100 g/L (IQR 86-122), MCV 99 fL (88-103), neutrophil 2.0 x 109/L (1.0-3.4), platelet 110 x 109/L (51-181), reticulocyte count 67 x 109/L (48-90). The overall diagnostic yield of BMEs was 56 (52%), including 37 (35%) myeloid neoplasm, 7 (7%) lymphoid neoplasm, 7 (7%) clonal hematopoiesis, and 5 (5%) others. The rest of BMEs were either non-diagnostic (21; 20%) or normal (30; 28%). Factors associated with abnormal BME included macrocytic anemia as the indication for BME (odds ratio [OR] 7.4, 95% CI 1.9-49.1), monocytosis as indication (OR 4.7, 95% 1.1-31.8), whereas BME performed for autoimmune cytopenia were more associated with normal or non-diagnostic findings (p=0.02). Only 46 (43%) BMEs were felt to have changed clinical management. These included: 15 (14%) started on hypomethylating agents, 8 (7%) hydroxyurea, 5 (5%) erythropoietin stimulating agents and 19 (18%) started on other therapies. The majority had no management changes after BME: 47 (44%) were reassured about absence of hematologic neoplasm, 9 (8%) were continued on supportive transfusions for lower-risk myeloid neoplasm, and 3 (3%) deemed poor candidates for chemotherapy. Conclusion: BME is frequently performed for single- or multi-lineage cytopenias, including cases with mild cytopenias and those with other contributing factors for cytopenia. Our practice audit in a large Canadian academic centre showed a diagnostic yield of only 52% in first-time marrows performed for undifferentiated cases, and even a smaller proportion resulting in changes in management. Longer follow-up period is warranted to assess the impact of early detection of clonal hematopoiesis and lower-risk myeloid neoplasm on outcomes and health resources utilization.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,021
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,217
Score d'incertitude au seuil0,987

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,021
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,038
Tête enseignante GPT0,391
Écart entre enseignants0,353 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission2
Résumé présentoui

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