Evidence map›Paper›PMID 27165969›Full record

ArticlePain medicine (Malden, Mass.)2017

The Impact of Demographic, Clinical, Symptom and Psychological Characteristics on the Trajectories of Acute Postoperative Pain After Total Knee Arthroplasty.

Maren Falch Lindberg, Christine Miaskowski, Tone Rustøen, Leiv Arne Rosseland, Steven M Paul, Bruce A Cooper, Anners Lerdal

Open access · hybridAbstract read
In one paragraph

Article in Pain medicine (Malden, Mass.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Maren Falch LindbergDepartment of Patient Safety and Research, Lovisenberg Diakonale Hospital, Oslo, Norway.
Christine MiaskowskiSchool of Nursing, University of California, San Francisco, San Francisco, California, USA.
Tone RustøenDepartment of Nursing Science, Faculty of Medicine, University of Oslo, Oslo, Norway.
Leiv Arne RosselandDepartment of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway.
Steven M PaulSchool of Nursing, University of California, San Francisco, San Francisco, California, USA.
Bruce A CooperSchool of Nursing, University of California, San Francisco, San Francisco, California, USA.
Anners LerdalDepartment of Patient Safety and Research, Lovisenberg Diakonale Hospital, Oslo, Norway.
University of California, San Francisco · USUniversity of Oslo · NOLovisenberg Diakonale Sykehus · NOOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Total knee arthroplasty is a painful procedure. No studies have evaluated modifiable predictors of acute postoperative pain trajectories during hospitalization. Methods: Consecutive patients (N = 188) were enrolled in a longitudinal cohort study and completed a demographic questionnaire, as well as the Brief Pain Inventory, Hospital Depression and Anxiety Scale, Lee Fatigue Scale, Fatigue Severity Scale, and Brief Illness Perception Questionnaire on the day before surgery. Clinical data were extracted from medical records. Setting and Patients: Each patient completed a pain diary that assessed pain at rest and with activity, and hours per day in pain every evening from day of surgery until postoperative day 3. Using hierarchical linear modeling, we investigated which demographic, clinical, symptom, and psychological characteristics predicted initial levels as well as the trajectories of acute pain at rest and with activity, and hours per day in pain. Results: Higher levels of all three acute pain characteristics on the day of surgery resulted in worse trajectories. Higher pain scores with rest and with activity on the day of surgery were associated with more days with femoral block, higher average dose of opioids, and higher emotional response to osteoarthritis. Higher number of comorbidities, higher average dose of opioids, and lower perceived control predicted more hours per day in pain on the day of surgery. Conclusions: This study identified several potentially modifiable predictors of worsening pain trajectories following total knee arthroplasty. Optimal pain management warrants identification of these high-risk patients and treatment of modifiable risk factors.

Indexed as

AgedArthroplasty, Replacement, KneeCohort StudiesFemaleHumansLongitudinal StudiesMaleMedical RecordsMiddle AgedOsteoarthritis, KneePain MeasurementPostoperative PainAcute Postoperative PainHierarchical Linear ModelingPain at RestPain with ActivityTotal Knee Arthroplasty

Identifiers

PMID27165969
PMCPMC5283700
OpenAlexW2357532048

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.