Lifestyle recommendations reduced blood pressure in patients with above optimal blood pressure
Bibliographic record
Abstract
Appel LJ, Champagne CM, Harsha DW, et al . Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA 2003;289:2083–93.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q In patients with above optimal blood pressure (BP), what is the relative effectiveness of 2 behavioural interventions (established lifestyle recommendations [ELR] and ELR plus the Dietary Approaches to Stop Hypertension [DASH] diet) compared with advice only? ### ![Graphic][5] Design: randomised controlled trial. ### ![Graphic][6] Allocation: concealed. ### ![Graphic][7] Blinding: blinded (data collectors). ### ![Graphic][8] Follow up period: 6 months. ### ![Graphic][9] Setting: 4 clinical centres in Maryland, Louisiana, North Carolina, and Oregon, USA. ### ![Graphic][10] Patients: 810 generally healthy adults who were ⩾25 years of age (mean age 50 y, 62% women), had above optimal BP (mean systolic BP 120–159 mm Hg and diastolic BP 80–95 mm Hg across 3 screening visits), were not taking … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.aulast%253DWriting%2BGroup%2Bof%2Bthe%2BPREMIER%2BCollaborative%2BResearc%26rft.auinit1%253D%2B%26rft.volume%253D289%26rft.issue%253D16%26rft.spage%253D2083%26rft.epage%253D2093%26rft.atitle%253DEffects%2Bof%2BComprehensive%2BLifestyle%2BModification%2Bon%2BBlood%2BPressure%2BControl%253A%2BMain%2BResults%2Bof%2Bthe%2BPREMIER%2BClinical%2BTrial%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.289.16.2083%26rft_id%253Dinfo%253Apmid%252F12709466%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.289.16.2083&link_type=DOI [3]: /lookup/external-ref?access_num=12709466&link_type=MED&atom=%2Febnurs%2F7%2F1%2F18.atom [4]: /lookup/external-ref?access_num=000182374300024&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
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".