Evidence map›Paper›PMID 34045902›Full record

ArticleClinical epidemiology2021

Completeness in the Swedish Fracture Register and the Swedish National Patient Register: An Assessment of Humeral Fracture Registrations.

Carl Bergdahl, Filip Nilsson, David Wennergren, Carl Ekholm, Michael Möller

Abstract read
In one paragraph

Article in Clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Incidence of proximal humerus fracture among older adults in Oslo, Norway varies by country background, marital status, and season.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  3. Article
  4. Fracture distribution in cross-country skiing accidents: an observational study from the Swedish Fracture Register.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2026
    Observational
  5. Article
  6. Epidemiology and treatment of forearm fractures in Swedish children and adolescents.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Observational
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Review
  12. Article
  13. Observational
  14. Article
  15. Observational
  16. The significance of recent fracture location for imminent risk of hip and vertebral fractures-a nationwide cohort study on older adults in Sweden.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Article
  17. Validation of the Swedish Quality Register for Ear Surgery - SwedEar.BMC medical informatics and decision making · 2023
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Carl Bergdahl *Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-9295-763X
Filip Nilsson *Department of Orthopaedics, Sahlgrenska University Hospital, Gothenburg/Mölndal, Sweden.
David WennergrenDepartment of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Carl EkholmDepartment of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Michael MöllerDepartment of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-7394-6057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRegister-based clinical research is important. However, it is essential that the collected data are reliable for the registers to be a valuable source of information. This study evaluated the quality of humeral fracture data in the Swedish Fracture Register (SFR) and in the Swedish National Patient Register (NPR). Furthermore, a model for improved case ascertainment was developed for future validation processes. MATERIALS AND

methodsData were obtained from the NPR and SFR for all individuals aged ≥16 years with an acute humeral fracture ICD-code treated at Sahlgrenska University Hospital. The true number of humeral fractures ("gold standard") was determined by cross-linkage between the two registers and a medical charts review. The completeness of registrations in each register was measured as the proportion of registrations compared with the gold standard, and accuracy was measured as positive predictive values (PPV).

resultsThe NPR demonstrated a high level of completeness (97%) and lower accuracy (PPV 70%) for acute humeral fractures, whereas the SFR had slightly lower completeness (88%) but perfect accuracy (PPV 100%). The most common systematic error was the registration of re-admissions as acute fractures in the NPR (84% of all erroneous registrations). With this knowledge, an adjustment model for NPR data was constructed to increase the accuracy of fracture registrations (PPV 92%) without excluding valid registrations.

conclusionData from the NPR tend to overestimate the true number of fractures, and proper case selection is needed in order for the data to function as a solid basis for epidemiological research and healthcare planning. In contrast, the SFR constitutes a complete, accurate and efficient source of information.

Indexed as

completenessepidemiologyhumeral fractureregistersvalidation

Identifiers

PMID34045902
PMCPMC8149280

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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.