Evidence map›Paper›PMID 19066983›Full record

ArticleSchmerz (Berlin, Germany)2009

[Complaints under analgesics: the difficult interpretation by older patients].

M Schuler, D Razus, P Oster

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In one paragraph

Article in Schmerz (Berlin, Germany), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [Opioids for noncancer pain in the elderly].Schmerz (Berlin, Germany) · 2015
    Article
  2. Article
  3. [Pain in nursing homes].Schmerz (Berlin, Germany) · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

M SchulerDiakonie-Krankenhaus, Speyererstr. 91-93, 68163, Mannheim, Deutschland. m.schuler@diako-mannheim.de
D Razus
P Oster

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder patients, particularly those with multimorbidity, complain about many symptoms which also occur under analgesics (especially with opioids). The goals of the study were to quantify symptoms and discuss the relationships to analgesics, pain, multimorbidity, function, age and gender. PATIENTS AND

methodsOn admittance to geriatric hospital, 1700 consecutive inpatients were questioned about symptoms typically of side-effects of analgesics and pain. Additionally medication including analgesics, activities of daily living, orientation, age, gender and morbidity were recorded.

resultsOf the patients, 1,418 (mean age 80.9 years) could answer questions about symptoms. Disturbance of sleep (n=664, 46.8%), pain (n=609, 43.0%), low appetite (551, 37.4%), dizziness (482, 34%), tiredness (331, 19.7%), constipation (236, 16.6%) and problems of urination (213, 12.7%) were indicated most frequently. Univariate analysis showed the well known correlations of analgesics and symptoms to be dependent on dose and substances. However, using a multivariate model, analgesics lost the significance for the symptoms with some exceptions. Pain intensity, duration of pain and gender differences became more important. Vomiting, dry mouth, and problems with urination correlated with low levels of activities of daily living. Increasing morbidity and cognitive deficits were not important for many symptoms.

conclusionsOur results underline the difficult interpretation of symptoms as a side-effect of analgesic treatment in older patients. Pain and gender differences have to be considered. The recommendation to carefully record symptoms before analgesic treatment is supported by our results.

Indexed as

Frail ElderlyPatient SatisfactionActivities of Daily LivingAgedAged, 80 and overAge FactorsAnalgesicsAnalgesics, OpioidComorbidityDrug InteractionsFemaleHumansMaleMiddle AgedMultivariate AnalysisPainAnalgesicsAnalgesics, Opioid

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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.