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Record W3021631536 · doi:10.1242/jeb.225003

Response to ‘What makes the blood go around?’

2020· article· en· W3021631536 on OpenAlexaff
William Joyce, Tobias Wang

Bibliographic record

VenueJournal of Experimental Biology · 2020
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsUniversity of Ottawa
FundersUniversity of Washington
KeywordsMean circulatory filling pressureIdeologyLaw and economicsEpistemologyLawMedicineBlood pressureCentral venous pressurePolitical scienceSociologyPhilosophyPoliticsHeart rateInternal medicine

Abstract

fetched live from OpenAlex

We thank Dr Dalmau (2020) for taking an interest in our review (Joyce and Wang, 2020). As we emphasised in our article, Guyton's model notoriously polarises opinion (e.g. Brengelmann, 2006; Magder, 2006), and we appreciate the correspondent’s eagerness to foster continued scientific debate on the topic (e.g. Dalmau, 2017, 2018, 2019).The relative contribution of central (cardiac) and peripheral (vascular) factors in determining systemic blood flow has been discussed for more than a century and we dispute that it can or should be dismissed as a ‘false dichotomy’, but rather that this discussion continues to provide fundamental insight into the mechanisms that dictate and regulate convective oxygen transport. We do not accuse the critics of the Guyton model of dismissing the role of the peripheral vasculature, but argue that ‘cardio-centrism’ is an innate predisposition to regard the heart as the primary regulator of blood flow as opposed to a staunchly guarded ideology.Dalmau invokes Brengelmann's criticisms of the Guyton model, which emphasise the importance of the heart as a pump and label the view of mean circulatory filling pressure being a central driver for the circulatory system as a ‘fallacy’ (Brengelmann, 2006, 2016). However, Brengelmann's standpoint is far from universally accepted (Berger et al., 2016; Magder, 2006, 2016). Mean circulatory filling pressure, a key component in the classic Guytonian view of the circulation, provides the pressure gradient for venous return, and the heart can only pump the blood it receives. Clearly, this does not dismiss the importance of the pump function of the heart, but the contribution of the heart should be viewed as a ‘restorative’ force that refills the systemic vasculature (Magder, 2016).What is more difficult to reconcile is Dalmau's insistence that heart rate determines cardiac output, which (in a physiological sense) is incompatible with the overwhelming experimental evidence from cardiac pacing studies demonstrating that cardiac output does not change when heart rate is altered (e.g. Bada et al., 2012; Joyce et al., 2018). The heart can only deliver flow on the arterial side at a rate that equals venous return, and venous return is predominantly determined by vascular components. In this regard, we hold no ‘ambiguity’, despite concurring that systemic blood flow obviously is the product of heart rate and stroke volume in an algebraic sense.In conclusion, we are grateful for being able to clarify that we do not believe that critics of the Guyton model disregard the role of the peripheral vasculature in general. However, we, like others, believe there is merit in the classical Guytonian model that mean circulatory filling pressure, as determined by blood volume and compliance of the blood vessels (i.e. vascular capacitance), is an important driver of venous return, which in turn determines cardiac output. We also take the opportunity to emphasise that experimental data suggest heart rate per se does not determine systemic blood flow (cardiac output). Of course, ultimately, the operating cardiovascular system involves both cardiac and venous return functions.

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)0.008
metaresearch head score (Gemma)0.054
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.035
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.054
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0050.011
Open science0.0040.005
Research integrity0.0350.058
Insufficient payload (model declined to judge)0.0230.016

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 head0.030
GPT teacher head0.315
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
GenreCommentary

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

Citations1
Published2020
Admission routes1
Has abstractyes

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