Evidence map›Paper›PMID 27339244›Full record

ArticleEvidence-based dentistry2016

Reliable evidence for efficacy of single dose oral analgesics.

Silvia Spivakovsky, Yael Spivakovsky

Abstract readComment
PubMed Publisher
In one paragraph

Article in Evidence-based dentistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Silvia SpivakovskyNew York University College of Dentistry, New York, USA.
Yael SpivakovskyNew York University College of Dentistry, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data sourcesThe Cochrane library was searched for Cochrane systematic reviews.Study selectionCochrane reviews on single pain medications for the treatment of acute pain were included. Non-Cochrane reviews were included for tramadol.Data extraction and synthesisTwo reviewers independently searched, selected reviews for inclusion, assessed quality and performed data extraction. A protocol in case of disagreement was in place. Data were collected on number of included studies and participants, drug, dose and formulation and pain model. The authors concentrated on the amount of information and the potential for publication bias.Pain relief was calculated using at least 50% maximum pain relief, as a percentage, and as NNTs. Duration of analgesia was measured as mean or median and time to remedication was calculated as percentage of patients.ResultsThirty-nine reviews including 41 interventions were analysed and NNTs for at least 50% maximum pain relief were summarised in a graphic. NNTs range from almost one all the way to five. Only one intervention, codeine 60, had an NNT ≥10. Results judged to be reliable were listed in detail. Mean or median time to remedication was also presented in a graphic.The authors conclude that there is a great amount of quality information on single dose analgesics, and highlighted the potential benefit of fast acting formulations and fixed formulations to achieve good long-lasting analgesia.ConclusionsThere is a wealth of reliable evidence on the analgesic efficacy of single dose oral analgesics. Fast acting formulations and fixed dose combinations of analgesics can produce good and often long-lasting analgesia at relatively low doses. There is also important information on drugs for which there are no data, inadequate data, or where results are unreliable due to susceptibility to publication bias. This should inform choices by professionals and consumers.

Indexed as

Administration, OralAcute PainAnalgesicsCodeineHumansPostoperative PainAnalgesicsCodeine

Identifiers

PMID27339244

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.