Observational studyBMJ open2024
Combining electronic health records data from a clinical research network with registry data to examine long-term outcomes of interventions and devices: an observational cohort study.
Observational study in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- EHR-Integrated CathPCI and Chest Pain MI Registry at a Tertiary Care Center in Pakistan.JACC. Case reports · 2025Article
- Predicting outcomes following open abdominal aortic aneurysm repair using machine learning.Scientific reports · 2025Article
- Neural network models for predicting readmission among patients undergoing peripheral vascular intervention using electronic health record data and clinical registry data.BMJ surgery, interventions, & health technologies · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectivesTo assess the feasibility of assessing long-term outcomes of peripheral vascular intervention (PVI) by linking data from a clinical registry to electronic health records (EHR) data from a clinical research network.
designObservational cohort study.
settingVascular Quality Initiative registry linked to INSIGHT Clinical Research Network, which aggregated EHR data from multiple institutions in New York City.
participantsPatients receiving PVI during 1 January 2013-30 November 2021 in four centres in New York City. PRIMARY AND SECONDARY OUTCOME MEASURES: We examined the proportion of registry patients retained in EHR over time and predictors of EHR retention after year 1. We evaluated the implications of EHR attrition by examining amputation-free survival (AFS) in the observed data and predicted data when patients discontinued in the EHR were hypothesised to have increased risks of events than the observed average.
resultsWe included 1405 patients receiving PVI (age=70.8±11.2 years, 51.3% male). Among eligible patients, 75.2% were retained in EHR through year 3. Patients who aged 75 years or above (vs <65: OR 0.34, 95% CI 0.18 to 0.62), had Medicaid (vs Medicare: OR 0.41, 95% CI 0.22 to 0.79), congestive heart failure (OR 0.54, 95% CI 0.32 to 0.90), dialysis (OR 0.47, 95% CI 0.24 to 0.91) and reduced ambulation (OR 0.34, 95% CI 0.15 to 0.75) were less likely to be retained in EHR. When discontinued patients were hypothesised to have increased risks of death or amputation than observed, AFS estimates diverged from the observed data around 6-12 months.
conclusionsStudies using registry-EHR data may benefit from the timeliness of the data but may be most appropriate to focus on short-term to intermediate-term outcomes of interventions and devices. Future research is needed to investigate the value of registry-EHR linkage in facilitating short-term to intermediate-term outcome assessment following vascular interventions and advanced statistical approaches to account for non-random missing long-term data.
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