Evidence map›Paper›PMID 34193084›Full record

ArticleBMC geriatrics2021

Development of a multivariable prognostic PREdiction model for 1-year risk of FALLing in a cohort of community-dwelling older adults aged 75 years and above (PREFALL).

Gustav Valentin Gade, Martin G Jørgensen, Jesper Ryg, Tahir Masud, Lasse Hjort Jakobsen, Stig Andersen

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03608709 (Development of a Multivariable Prognostic PREdiction Model for 1-year Risk of FALLing in Community-dwelling Older Adults in a Non-clinical Setting), which is not on this map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
5.7field-weighted citation impact, top 4% 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.

NCT03608709 completednot on this map

Development of a Multivariable Prognostic PREdiction Model for 1-year Risk of FALLing in Community-dwelling Older Adults in a Non-clinical Setting

TypeobservationalSponsorAalborg University HospitalRan2018 to 2020Enrolled241ConditionsAccidental Fall, Fall
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

6 authors at 3 institutions in 2 countries.

Gustav Valentin GadeDepartment of Geriatric Medicine, Aalborg University Hospital, Hobrovej 18-22, Gl. Roed Bygn. 6, 9000, Aalborg, Denmark. gustavs@dcm.aau.dk.ORCID 0000-0002-7944-9913
Martin G JørgensenDepartment of Geriatric Medicine, Aalborg University Hospital, Hobrovej 18-22, Gl. Roed Bygn. 6, 9000, Aalborg, Denmark.ORCID 0000-0002-3189-644X
Jesper RygDepartment of Geriatric Medicine, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark.ORCID 0000-0002-8641-3062
Tahir MasudDepartment of Geriatric Medicine, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense, Denmark.ORCID 0000-0003-1061-2898
Lasse Hjort JakobsenDepartment of Clinical Medicine, Aalborg University, Soendre Skovvej 15, 9000, Aalborg, Denmark.
Stig AndersenDepartment of Geriatric Medicine, Aalborg University Hospital, Hobrovej 18-22, Gl. Roed Bygn. 6, 9000, Aalborg, Denmark.ORCID 0000-0003-3632-5213
Aalborg University Hospital · DKNottingham University Hospitals NHS Trust · GBUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are the leading cause of fatal and non-fatal injuries in older adults, and attention to falls prevention is imperative. Prognostic models identifying high-risk individuals could guide fall-preventive interventions in the rapidly growing older population. We aimed to develop a prognostic prediction model on falls rate in community-dwelling older adults.

methodsDesign: prospective cohort study with 12 months follow-up and participants recruited from June 14, 2018, to July 18, 2019.

settinggeneral population. SUBJECTS: community-dwelling older adults aged 75+ years, without dementia or acute illness, and able to stand unsupported for one minute. OUTCOME: fall rate for 12 months. STATISTICAL

methodscandidate predictors were physical and cognitive tests along with self-report questionnaires. We developed a Poisson model using least absolute shrinkage and selection operator penalization, leave-one-out cross-validation, and bootstrap resampling with 1000 iterations.

resultsSample size at study start and end was 241 and 198 (82%), respectively. The number of fallers was 87 (36%), and the fall rate was 0.94 falls per person-year. Predictors included in the final model were educational level, dizziness, alcohol consumption, prior falls, self-perceived falls risk, disability, and depressive symptoms. Mean absolute error (95% CI) was 0.88 falls (0.71-1.16).

conclusionWe developed a falls prediction model for community-dwelling older adults in a general population setting. The model was developed by selecting predictors from among physical and cognitive tests along with self-report questionnaires. The final model included only the questionnaire-based predictors, and its predictions had an average imprecision of less than one fall, thereby making it appropriate for clinical practice. Future external validation is needed.

trial registrationClinicaltrials.gov ( NCT03608709 ).

Indexed as

Accidental FallsIndependent LivingAgedDizzinessHumansPrognosisProspective StudiesAccidental fallsModelsMultivariable analysisPrognosisTheoretical

Identifiers

PMID34193084
PMCPMC8243769
OpenAlexW3173976249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.