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Bone marrow biopsy in thrombocytopenic or anticoagulated patients

2005· letter· en· W1547137195 on OpenAlexaff
John W. Eikelboom

Bibliographic record

VenueBritish Journal of Haematology · 2005
Typeletter
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineBiopsyBone marrowHematologyWarfarinSurgeryAdverse effectTrephineInternal medicine

Abstract

fetched live from OpenAlex

Bone marrow aspiration and trephine biopsy are performed in an estimated 10 000 patients each year in the UK (Bain, 2004). A recent postal survey of members of the British Society for Haematology suggested that these procedures are generally safe, with adverse events being reported in only one per 1000 procedures (Bain, 2003, 2004). However, while complications are rare, they may be serious, and fatal outcomes have been reported (Le Dieu et al, 2003; Morley & Makris, 2003; Bain, 2004). The most frequently reported serious adverse event is bleeding. Patients with thrombocytopenia or receiving anticoagulant therapy with heparin or warfarin are likely to be at increased risk of bleeding following bone marrow biopsy but the optimal management of these patients at the time of the procedure is uncertain. Following the recent death of an Australian patient, who experienced a massive retroperitoneal haemorrhage after bone marrow aspirate and trephine biopsy was performed during warfarin therapy with an International Normalised Ratio (INR) of 1.9, an email survey was conducted of members of the Australasian Society of Thrombosis and Haemostasis and the Hematology Society of Australia and New Zealand, to document current approaches to performing bone marrow biopsy among thrombocytopenic or anticoagulated patients. Recipients of the survey were also asked whether written informed consent was routinely obtained prior to bone marrow biopsy. A total of 104 of more than 400 persons on the Societies' mailing lists responded to the survey. Most responses were from Australian or New Zealand haematologists but replies were also received from Cambodia, Singapore and the UK. The results are summarised in Table I. Most respondents indicated that they did not routinely transfuse platelets prior to bone marrow biopsy in thrombocytopenic patients. Approximately 20% stopped or reversed warfarin prior to biopsy, 10% performed a biopsy irrespective of the INR, and the remainder performed a biopsy as long as the INR was 'acceptable'. Approximately two of three respondents routinely obtained written informed consent prior to bone marrow biopsy. This survey demonstrated a broad range of practices among haematologists who perform bone marrow biopsy in thrombocytopenic or anticoagulated patients. The widespread practice of performing a biopsy without platelet support or during warfarin therapy suggests that most haematologists do not consider thrombocytopenia or anticoagulation to be important risk factors for bleeding following bone marrow biopsy. Our survey has several limitations. First, those members of the Australasian Society of Thrombosis and Haemostasis and the Hematology Society of Australia and New Zealand who have previously experienced complications of bone marrow biopsy may have been less likely to respond to our survey. Secondly, haematologists may avoid performing a bone marrow examination or trephine biopsy in thrombocytopenic or anticoagulated patients. This information was not captured in the survey. Preventing adverse events after bone marrow biopsy is important for individual patients as well as public health. Extrapolating the UK data, it is likely that hundreds of thousands of bone marrow biopsies are performed worldwide each year. Assuming a complication rate of 0.1% (probably an underestimate because adverse events are often underreported), hundreds of adverse events occur worldwide each year. Accurate data on the incidence of complications following bone marrow biopsy in thrombocytopenia and anticoagulated patients are required so that appropriate management guidelines can be developed. This work was performed while I was in the Department of Haematology, Royal Perth Hospital, Perth, Australia. I am grateful to the members of the Australasian Society of Thrombosis and Haemostasis and the Hematology Society of Australia and New Zealand who responded to this survey.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.284
Teacher spread0.259 · 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 designNot applicable
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".

Quick stats

Citations13
Published2005
Admission routes1
Has abstractyes

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