Evidence map›Paper›PMID 30850403›Full record

ArticleBMJ open2019

Validation of adverse events after hip arthroplasty: a Swedish multi-centre cohort study.

Martin Magnéli, Maria Unbeck, Cecilia Rogmark, Ola Rolfson, Ami Hommel, Bodil Samuelsson, Kristina Schildmeijer, Desirée Sjöstrand, Max Gordon, Olof Sköldenberg

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Predictive values of trigger tools for identifying adverse events in hospitalized patients using a medical record review: a systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
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  6. A scoping review of the methodological approaches used in retrospective chart reviews to validate adverse event rates in administrative data.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
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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

10 authors.

Martin MagnéliDepartment of Clinical Sciences at Danderyd Hospital, Division of Orthopaedics, Karolinska Institutet, Stockholm, Sweden.
Maria UnbeckDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Cecilia RogmarkSkanes universitetssjukhus, Malmo, Sweden.
Ola RolfsonDepartment of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Ami HommelDepartment of Care Science, Faculty of Health and Society, Malmö University, Malmö, Sweden.
Bodil SamuelssonDepartment of Clinical Sciences at Danderyd Hospital, Division of Orthopaedics, Karolinska Institutet, Stockholm, Sweden.
Kristina SchildmeijerSchool of Health and Caring Sciences, Linnaéus University, Kalmar, Sweden.
Desirée SjöstrandEducation Unit, Skånevård Kryh, Kristianstad, Sweden.
Max GordonDepartment of Clinical Sciences at Danderyd Hospital, Division of Orthopaedics, Karolinska Institutet, Stockholm, Sweden.
Olof SköldenbergDepartment of Clinical Sciences at Danderyd Hospital, Division of Orthopaedics, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPreventing adverse events (AEs) after orthopaedic surgery is a field with great room for improvement. A Swedish instrument for measuring AEs after hip arthroplasty based on administrative data from the national patient register is used by both the Swedish Hip Arthroplasty Register and the Swedish Association of Local Authorities and Regions. It has never been validated and its accuracy is unknown. The aim of this study was to validate the instrument's ability to detect AEs, and to calculate the incidence of AEs following primary hip arthroplasties.

designRetrospective cohort study using retrospective record review with Global Trigger Tool methodology in combination with register data.

setting24 different hospitals in four major regions of Sweden.

participants2000 patients with either total or hemi-hip arthroplasty were recruited from the SHAR. We included both acute and elective patients. PRIMARY AND SECONDARY OUTCOME MEASURES: The sensitivity and specificity of the instrument. Adjusted cumulative incidence and incidence rate.

resultsThe sensitivity for all identified AEs was 5.7% (95% CI: 4.9% to 6.7%) for 30 days and 14.8% (95% CI: 8.2 to 24.3) for 90 days, and the specificity was 95.2% (95% CI: 93.5% to 96.6%) for 30 days and 92.1% (95% CI: 89.9% to 93.8%) for 90 days. The adjusted cumulative incidence for all AEs was 28.4% (95% CI: 25.0% to 32.3%) for 30 days and 29.5% (95% CI: 26.0% to 33.8%) for 90 days. The incidence rate was 0.43 AEs per person-month (95% CI: 0.39 to 0.47).

conclusionsThe AE incidence was high, and most AEs occurred within the first 30 days. The instrument sensitivity for AEs was very low for both 30 and 90 days, but the specificity was high for both 30 and 90 days. The studied instrument is insufficient for valid measurements of AEs after hip arthroplasty.

Indexed as

AgedAged, 80 and overArthroplasty, Replacement, HipFemaleHemiarthroplastyHumansIncidenceMaleMedical RecordsMiddle AgedPostoperative ComplicationsRetrospective StudiesSensitivity and SpecificitySwedenadverse eventsglobal trigger toolhip arthroplastyorthopaedicsvalidation

Identifiers

PMID30850403
PMCPMC6429990

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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.