Evidence map›Paper›PMID 35812471›Full record

ReviewFrontiers in public health2022

Identifying Frail Patients by Using Electronic Health Records in Primary Care: Current Status and Future Directions.

Jianzhao Luo, Xiaoyang Liao, Chuan Zou, Qian Zhao, Yi Yao, Xiang Fang, John Spicer

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Progression of Frailty and Cardiovascular Outcomes Among Medicare Beneficiaries.medRxiv : the preprint server for health sciences · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Review
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.

Jianzhao LuoInternational Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Xiaoyang LiaoInternational Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Chuan ZouDepartment of General Practice, Chengdu Fifth People's Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Qian ZhaoInternational Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Yi YaoInternational Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Xiang FangInternational Medical Centre/Ward of General Practice and National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
John SpicerGP and Senior Lecturer in Medical Law and Clinical Ethics, Institute of Medical and Biomedical Education, St George's University of London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapidly aging population, frailty, characterized by an increased risk of adverse outcomes, has become a major public health problem globally. Several frailty guidelines or consensuses recommend screening for frailty, especially in primary care settings. However, most of the frailty assessment tools are based on questionnaires or physical examinations, adding to the clinical workload, which is the major obstacle to converting frailty research into clinical practice. Medical data naturally generated by routine clinical work containing frailty indicators are stored in electronic health records (EHRs) (also called electronic health record (EHR) data), which provide resources and possibilities for frailty assessment. We reviewed several frailty assessment tools based on primary care EHRs and summarized the features and novel usage of these tools, as well as challenges and trends. Further research is needed to develop and validate frailty assessment tools based on EHRs in primary care in other parts of the world.

Indexed as

FrailtyAgedElectronic Health RecordsFrail ElderlyGeriatric AssessmentHumansPrimary Health CareassessmentEHRselectronic frailty indexfrailtyprimary care

Identifiers

PMID35812471
PMCPMC9256951

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.