Evidence map›Paper›PMID 29691201›Full record

ArticleJournal of medical Internet research2018

Identifying Unmet Treatment Needs for Patients With Osteoporotic Fracture: Feasibility Study for an Electronic Clinical Surveillance System.

Fong-Ci Lin, Chen-Yu Wang, Rung Ji Shang, Fei-Yuan Hsiao, Mei-Shu Lin, Kuan-Yu Hung, Jui Wang, Zhen-Fang Lin, Feipei Lai, Li-Jiuan Shen and 1 more

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Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Fong-Ci Lin *Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.ORCID 0000-0001-9031-7113
Chen-Yu Wang *Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0003-0498-2438
Rung Ji ShangInformation Technology Office, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0003-1088-4180
Fei-Yuan HsiaoGraduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0003-1660-9120
Mei-Shu LinDepartment of Development and Planning, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0002-1607-9337
Kuan-Yu HungDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0003-3472-5512
Jui WangInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.ORCID 0000-0003-4800-5276
Zhen-Fang LinDepartment of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0002-8575-2521
Feipei LaiGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.ORCID 0000-0001-7147-8122
Li-Jiuan ShenDepartment of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0002-2854-3205
Chih-Fen HuangDepartment of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0003-1311-8828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional clinical surveillance relied on the results from clinical trials and observational studies of administrative databases. However, these studies not only required many valuable resources but also faced a very long time lag.

objectiveThis study aimed to illustrate a practical application of the National Taiwan University Hospital Clinical Surveillance System (NCSS) in the identification of patients with an osteoporotic fracture and to provide a high reusability infrastructure for longitudinal clinical data.

methodsThe NCSS integrates electronic medical records in the National Taiwan University Hospital (NTUH) with a data warehouse and is equipped with a user-friendly interface. The NCSS was developed using professional insight from multidisciplinary experts, including clinical practitioners, epidemiologists, and biomedical engineers. The practical example identifying the unmet treatment needs for patients encountering major osteoporotic fractures described herein was mainly achieved by adopting the computerized workflow in the NCSS.

resultsWe developed the infrastructure of the NCSS, including an integrated data warehouse and an automatic surveillance workflow. By applying the NCSS, we efficiently identified 2193 patients who were newly diagnosed with a hip or vertebral fracture between 2010 and 2014 at NTUH. By adopting the filter function, we identified 1808 (1808/2193, 82.44%) patients who continued their follow-up at NTUH, and 464 (464/2193, 21.16%) patients who were prescribed anti-osteoporosis medications, within 3 and 12 months post the index date of their fracture, respectively.

conclusionsThe NCSS systems can integrate the workflow of cohort identification to accelerate the survey process of clinically relevant problems and provide decision support in the daily practice of clinical physicians, thereby making the benefit of evidence-based medicine a reality.

Indexed as

AgedCohort StudiesDatabases, FactualFeasibility StudiesFemaleHumansMiddle AgedOsteoporosisOsteoporotic FracturesPublic Health SurveillanceSurveys and Questionnairesguideline adherenceinformation systemsosteoporotic fracturespharmacovigilancepublic health surveillance

Identifiers

PMID29691201
PMCPMC5941097

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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.