Myths and facts in the use of anti-inflammatory drugs
Bibliographic record
Abstract
BACKGROUND: Because of the prominence of pain-related conditions and the growing complexities of clinical management we aimed to explore and attempt to dispel the several myths that surround these serious therapeutic issues. AIMS: We aimed to provide a careful analysis of the evidence and draw factually based guidance for physicians who manage the broad range of patients with pain. METHODS: Current myths were identified based on the authors' clinical, scientific, and academic experience. Each contributor addressed specific topics and made his own selection of primary references and systematic reviews by searching in MEDLINE, EMBASE, and CINAHL databases (1990-2008) as well as in the proceedings of the major digestive and rheumatology meetings. The writing and references provided by each contributor were collectively analyzed and discussed by all authors during several meetings until the final manuscript was prepared and approved. RESULTS: Seven major 'historical' myths that may perpetuate habits and beliefs in clinical practice were identified. Each of them was thoroughly examined and dispelled, drawing conclusions that should help guide physicians to better manage patients with pain. CONCLUSIONS: Pain relief must be considered a human right, and patients with osteoarthritis pain should be treated appropriately with analgesic or/and anti-inflammatory drugs. The risk of gastrointestinal (GI) complications with traditional non-steroidal anti-inflammatory drugs (t-NSAIDs) is present from the first dose (with both short-term and long-term use), and strategies to prevent GI complications should be considered regardless of the duration of therapy. Compared with t-NSAIDs, coxib use is associated with a small but significant reduction of dyspepsia. While protecting the stomach, proton pump inhibitors do not prevent NSAID-induced intestinal damage. To this end, coxib therapy could be the preferred option, although further randomized studies are needed. A substantial number of patients who need NSAIDs are also taking low-dose aspirin for cardiovascular prophylaxis. From a GI perspective, the combination of aspirin plus a coxib provides a preferred option compared with aspirin plus a t-NSAID, for patients at high GI risk. As the incidence of renovascular adverse effects with t-NSAIDs and coxibs is similar, blood pressure should be monitored and managed appropriately in patients taking these drugs, although they should be avoided in those with severe congestive heart failure. Due to increased cardiovascular risk, which is dependent on the dose, duration of therapy, and base-line cardiovascular risk, both t-NSAIDs and coxibs should be used with caution in patients with underlying prothrombotic states and/or concomitant cardiovascular risk factors.
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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 | 0.079 | 0.149 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.005 | 0.054 |
| Scholarly communication | 0.011 | 0.024 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.007 | 0.016 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".