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Record W2406348777

Book review: Evidential hypertension

2002· article· en· W2406348777 on OpenAlexvenueno aff
James M Wright

Bibliographic record

VenueCanadian Medical Association Journal · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsnot available
Fundersnot available
KeywordsSurprisePresentation (obstetrics)MedicineBlood pressureHarmTask (project management)Randomized controlled trialPediatricsPsychologySurgeryInternal medicineSocial psychologyManagement
DOInot available

Abstract

fetched live from OpenAlex

Evidence-based hypertension Cynthia D. Mulrow, editor London: BMJ Books; 2001 256 pp £27.50 ISBN 0-7279-1438-3 Cynthia Mulrow and her coauthors are to be congratulated for their attempt to translate the large body of evidence about elevated blood pressure into information that “meet[s] the needs of hurried and harried clinicians.” Intended to be carried and used in the clinical setting, the book is organized by means of clinically relevant questions, patient scenarios, the presentation of graded evidence and summary “bottom lines.” The authors describe their task in writing this book as Herculean. That is certainly true for the task of converting the evidence into bottom lines and perhaps explains why the different chapters succeed only to varying degrees. The presentation of evidence in the last chapter, “What if my hypertensive patient becomes pregnant?”, is by far the most successful. Here, the evidence from available randomized controlled trials is presented in three figures as a meta-analysis. The reader can see at a glance that a large benefit or harm from the treatment of hypertension has not been established for either pregnant women or their infants. This might come as a surprise for the reader, as it did for me, given that most guidelines recommend treatment for women with relatively mild elevation of blood pressure during pregnancy. I also appreciated the way the evidence in this chapter was summed up. For example, for blood pressures of > 140/90 mm Hg and < 160/100 mm Hg in pregnant women, “there is little known benefit of antihypertensive treatment,” and such patients should be informed of this fact. The decision as to what to do in an individual case is left up to the patient and the physician. In contrast, none of the other chapters uses figures to present meta- analysis evidence. Rather, evidence is presented variously as risk ratios, absolute risk reduction or in verbal summaries. The approach used in converting this evidence into bottom-line messages also varies. Some of the authors make recommendations in the absence of trial evidence. For example, in Chapter 4, the authors recommend “slow gradual weight loss in patients who are overweight,” despite the fact that this is based on consensus opinion, not evidence. As a result, the reader cannot accept the bottom-line statements in the various chapters as consistently derived from clinical trials. The grading of evidence was not helpful, as it frequently could not be verified from the text and supporting references. For example, in Chapter 7, the recommendation of target blood pressures of < 75–80 mm Hg for diabetic patients with hypertension is graded as being based on Level 1 evidence. In fact, no trial has tested the effect of lowering blood pressure to < 75 mm Hg in any population, and the only evidence for < 80 mm Hg was derived, on the basis of a very small number of events, from a subgroup analysis of diabetic patients in the HOT study. This hardly represents Level 1 evidence, in my view. Also disturbing are various errors in the text, as for example in the Framingham Study table for women (Appendix 1, Chapter 3). The tables for women are mistakenly the same as for men and, if used to calculate Ms. Athletic's risk on page 56, yield an incorrect number and estimation of risk. As another example of inaccuracy, on page 87 nisoldipine rather than nitrendipine is incorrectly named as the drug used in the Syst-Eur trial. On the positive side, this book is an excellent and comprehensive source of references for the major randomized controlled trials and systematic reviews published on elevated blood pressure. Anyone working in this area can learn a great deal from it. However, although this text provides ample evidence that elevated blood pressure simply represents a graded risk factor for adverse cardiovascular events and thus is not a disease entity, I was disappointed that some chapters still perpetuate the myth that hypertension is a definable disease based on a measurement (pages 19 and 39). The main challenge in disseminating evidence-based information lies in finding a consistent method of presenting the evidence and converting that evidence into appropriate clinical messages. This text, while failing to establish a consistent method, demonstrates the difficulty of that task, and as such makes a valuable contribution.

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)0.003
metaresearch head score (Gemma)0.025
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: Other · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0730.057

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 head0.086
GPT teacher head0.424
Teacher spread0.338 · 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
GenreOther

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

Citations0
Published2002
Admission routes1
Has abstractyes

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