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Record W2082706184 · doi:10.1111/bjh.12015

Algorithm for initial management of priapism in chronic myeloid leukaemia

2012· letter· en· W2082706184 on OpenAlexaffabout
Laura Chisick, Matthew D. Seftel, Rajat Kumar

Bibliographic record

VenueBritish Journal of Haematology · 2012
Typeletter
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsCancerCare ManitobaUniversity of Manitoba
Fundersnot available
KeywordsPriapismMedicineIntensive care medicineApheresisMyeloproliferative neoplasmPediatricsImmunologySurgeryBone marrow

Abstract

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Rodgers et al (2012) provided an excellent overview on the management of priapism, but we feel it is not sufficiently specific to the management of priapism as a presenting feature in chronic myeloid leukaemia (CML). Moreover, a review of this serious medical syndrome is likely to be of special relevance to resource-constrained regions of the world where CML frequently presents in advanced phases (Gupta et al, 1987; Tazi, 2009). Some of the diagnostic and therapeutic recommendations described by Rodgers et al (2012) may be impractical as the required facilities, especially in the developing world, may not be readily available. In a patient presenting with priapism, the presence of splenomegaly should raise the possibility of CML or a related haematological disorder. A full blood count with peripheral film examination would strongly support underlying CML. The differential diagnosis will include a myeloproliferative neoplasm or acute leukaemia. These simple tests will permit the health care team to direct relevant therapy. In contrast, although penile blood gases and color duplex ultrasound are important to differentiate between ischaemic and non-ischaemic mechanisms of priapism, we disagree that these are essential investigations in CML, as priapism in CML is already known to be ischaemic in nature (Broderick et al, 2010). We agree that leukapheresis may be used as a complement to systemic chemotherapy. The American Society for Apheresis recommends leukaphereis in acute leukaemia presenting with hyperleucocytosis, as a single leucocytapheresis can reduce the white blood cell count by 30–60% (Szczepiorkowski et al, 2010). By extrapolation, apheresis is also recommended in CML presenting with priapism (Ponniah et al, 2004; Szczepiorkowski et al, 2010). However, due to logistical limitations and delays in referral, apheresis can rarely be initiated immediately. Rodgers et al (2012) advise against the use of oral sympathomimetics without citing supporting literature. Within limitations, there are studies suggesting that oral terbutaline may be of use in pharmacologically-induced priapism (Lowe & Jarow, 1993; Priyadarshi, 2004). Oral sympathomimetics, such as etilferine, phenylephrine, metaraminol and terbutaline, are superior to placebo if administered within a short timeframe (<4 h) after onset of priapism, achieving detumescence in one-third of patients (Tay et al, 2012). While we agree that the evidence for their efficacy is weak in CML, and specific measures should not be delayed while awaiting a response, we suggest that oral sympathomimetics may be attempted while other measures are being undertaken. If successful, sympathomimetics would be a simple alternative to more expensive or invasive options. In our Canadian province, of the 60 cases of CML diagnosed in the last 4 years, 2 (3·3%) men presented with priapism, one of whom was left with permanent erectile impairment. This prompted us to develop an accessible, team-based guideline for the emergency management of this rare but serious complication of CML (Fig 1). The most important components of this approach are relatively inexpensive, and should be readily applicable in most hospital settings worldwide. This letter was written by Dr L. Chisick with direction and collaboration from Drs R. Kumar and M. Seftel. Revisions and subsequent drafts were edited and revised by Drs L. Chisick, R. Kumar and M. Seftel.

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)0.004
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: none
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0190.008

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 head0.019
GPT teacher head0.269
Teacher spread0.251 · 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

Citations12
Published2012
Admission routes2
Has abstractyes

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