Adjustment of antihypertensive medication using home based, patient monitored blood pressure reduced both intensity of treatment and blood pressure control
Bibliographic record
Abstract
Staessen JA, Den Hond E, Celis H, et al for the Treatment of Hypertension Based on Home or Office Blood Pressure (THOP) Trial Investigators. Antihypertensive treatment based on blood pressure measurement at home or in the physician’s office: a randomized controlled trial. JAMA 2004;291:955–64.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Is home based, self measurement of blood pressure (BP) more effective than office based, physician measurement as a basis for initiating and titrating antihypertensive drug treatment? ### ![Graphic][5] Design: randomised controlled trial. ### ![Graphic][6] Allocation: concealed. ### ![Graphic][7] Blinding: blinded {patients, physician making treatment decisions, outcome assessors, data analysts, and monitoring committee}*. ### ![Graphic][8] Follow up period: 1 year. ### ![Graphic][9] Setting: 56 primary care practices and 3 hospital based outpatient clinics in Leuven, Belgium and a specialised hypertension clinic in Dublin, Ireland. ### ![Graphic][10] Patients: 400 patients ⩾18 years of age (mean age 53 y, 52% women) who had either untreated or treated hypertension (using ⩽2 antihypertensive agents), and the last of 3 consecutive readings … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.aulast%253DStaessen%26rft.auinit1%253DJ.%2BA.%26rft.volume%253D291%26rft.issue%253D8%26rft.spage%253D955%26rft.epage%253D964%26rft.atitle%253DAntihypertensive%2BTreatment%2BBased%2Bon%2BBlood%2BPressure%2BMeasurement%2Bat%2BHome%2Bor%2Bin%2Bthe%2BPhysician%2527s%2BOffice%253A%2BA%2BRandomized%2BControlled%2BTrial%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.291.8.955%26rft_id%253Dinfo%253Apmid%252F14982911%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/jama.291.8.955&link_type=DOI [3]: /lookup/external-ref?access_num=14982911&link_type=MED&atom=%2Febnurs%2F7%2F3%2F80.atom [4]: /lookup/external-ref?access_num=000189182000023&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".