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Record W3211066228 · doi:10.4103/gjtm.gjtm_50_18

A step toward bloodless medicine and surgical practice will lead to rational use of blood: A literature review

2019· review· en· W3211066228 on OpenAlexaboutno aff
AshishkumarNathabhai Kanani, JitendraH Vachhani, ShwetaB Upadhyay

Bibliographic record

VenueGlobal Journal of Transfusion Medicine · 2019
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTransfusion medicineBlood transfusionIntensive care unitBlood unitsIntensive care medicineEmergency medicineSurgery

Abstract

fetched live from OpenAlex

Sir, Bloodless medicine and surgery (BMS) is the provision of quality health care to patients without the use of allogeneic blood with the aim of improving outcome and protecting patients' rights because it is evidencebased and associated with a better outcome.[1] BMS started as an attempt by some dedicated surgeons in the era of 1960s [Table 1] to accommodate patients who declined blood transfusion, notably the cult known as Jehovah's Witness.[2] Their religious belief is based on a distinctive interpretation of specific passages from the Bible, such as:Table 1: Bloodless surgeons and his achievements in Bloodless Medicine and Surgery practice“You are to abstain from … blood”– Acts Ch. 15 v. 29 (New English Bible)[3] The Canadian Critical Care Trial Group study on transfusion requirements in critical care was a landmark prospective, randomized study on 838 intensive care unit (ICU) patients comparing a liberal transfusion versus restricted transfusion policy. Interestingly, it revealed better results with the restricted transfusion group in terms of a lower ICU and hospital mortality, lower 30-day mortality, and a trend toward decreased organ failure.[4] Recently, there was a report in print media that in India every year 12 million units are required for transfusion, as against 10 million units collected by all the blood banks in the country, thereby leaving an annual deficit of 2 million units. On the other side, the absence of a robust blood-sharing network between the blood banks and hospitals has resulted in wastage of over 0.6 million liters of blood in the country in the last 5 years.[5] In recent years, the American Medical Association has listed transfusion as among the most overused therapies in medicine. Furthermore, “Medicine without Blood,” availed of Jehovah Witness has changed the way doctors think about blood transfusion.[6] The Government of Western Australia is the first to implement Patient Blood Management (PBM) as an official policy starting from 2008.[7] In 2010, the 63rd World Health Assembly of the World Health Organization offi cially recognized and adopted the “pillars” of PBM.[8] Doctors can use BMS techniques at three points throughout the surgical process [Table 2].Table 2: Principles of Bloodless Medicine and Surgery are outline belowBenefits of BMS practice include faster recovery and short hospital stay, experience fewer infections, avoid risk of posttransfusion reaction, lower morbidity and mortality, lower cost, and better patient satisfaction. Newer innovations in BMS comprise robotic surgery and pulse co-oximeter, thromboelastometry, plasmajet, and fibrin glue. In developing countries like India, if the hospital and health-care centers were to be provided with advance surgical and transfusion modalities, including instruments and skilled personals, then this goal can be achieved. BMS is not “a technique'” but a combination of techniques tailored to the needs and physiological status of the individual patient to avoid transfusion of allogeneic blood. BMS practice can be achieved by the coordination of blood providers and consumers. If surgeons apply scientifically sound practices to minimize blood loss and transfusion medicine specialists continually emphasis on BMS practice with the help of newer transfusion modalities, the goal can be comfortably achieved. If bloodless transfusion practice can be successfully done for the respect of religious beliefs, it also can be achieved for the humanitarian purpose. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest. Acknowledgment I sincerely thank Dr. S R Joshi, Director of Lok Samarpan Raktadan Kendra and Research Center, Surat, for his inputs in preparing this article.

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)0.002
metaresearch head score (Gemma)0.011
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: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0110.015
Science and technology studies0.0010.001
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.073
GPT teacher head0.359
Teacher spread0.286 · 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
GenreReview

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
Published2019
Admission routes1
Has abstractyes

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