Evidence map›Paper›PMID 39353185›Full record

ArticleInteractive journal of medical research2024

Unlocking the Potential of Secondary Data for Public Health Research: Retrospective Study With a Novel Clinical Platform.

Christopher Gundler, Karl Gottfried, Alexander Johannes Wiederhold, Maximilian Ataian, Marcus Wurlitzer, Jan Erik Gewehr, Frank Ückert

Abstract read
In one paragraph

Article in Interactive journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Christopher Gundler *Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0001-9301-8872
Karl Gottfried *Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0002-2100-3409
Alexander Johannes WiederholdInstitute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0009-0005-1987-9427
Maximilian AtaianInstitute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0009-0002-7450-3586
Marcus WurlitzerResearch Data Facility, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0002-1911-4572
Jan Erik GewehrResearch Data Facility, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0009-0006-6453-9082
Frank ÜckertInstitute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID https://orcid.org/0000-0001-8362-5636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical routine data derived from university hospitals hold immense value for health-related research on large cohorts. However, using secondary data for hypothesis testing necessitates adherence to scientific, legal (such as the General Data Protection Regulation, federal and state protection legislations), technical, and administrative requirements. This process is intricate, time-consuming, and susceptible to errors.

objectiveThis study aims to develop a platform that enables clinicians to use current real-world data for testing research and evaluate advantages and limitations at a large university medical center (542,944 patients in 2022).

methodsWe identified requirements from clinical practitioners, conceptualized and implemented a platform based on the existing components, and assessed its applicability in clinical reality quantitatively and qualitatively.

resultsThe proposed platform was established at the University Medical Center Hamburg-Eppendorf and made 639 forms encompassing 10,629 data elements accessible to all resident scientists and clinicians. Every day, the number of patients rises, and parts of their electronic health records are made accessible through the platform. Qualitatively, we were able to conduct a retrospective analysis of Parkinson disease over 777 patients, where we provide additional evidence for a significantly higher proportion of action tremors in patients with rest tremors (340/777, 43.8%) compared with those without rest tremors (255/777, 32.8%), as determined by a chi-square test (P<.001). Quantitatively, our findings demonstrate increased user engagement within the last 90 days, underscoring clinicians' increasing adoption of the platform in their regular research activities. Notably, the platform facilitated the retrieval of clinical data from 600,000 patients, emphasizing its substantial added value.

conclusionsThis study demonstrates the feasibility of simplifying the use of clinical data to enhance exploration and sustainability in scientific research. The proposed platform emerges as a potential technological and legal framework for other medical centers, providing them with the means to unlock untapped potential within their routine data.

Indexed as

clinical datadataEHRelectronic health recordhealth datahealth-related researchhypothesis testingParkinson diseaseresearch platformsecondary usetremor

Identifiers

PMID39353185
PMCPMC11480676

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.