Evidence map›Paper›PMID 41845148›Full record

ArticleNeurocritical care2026

Accuracy of Electronic Medical Records for Quantifying Rates of Sedative and Analgesic Infusions for Acute Disorders of Consciousness in Big Data Research.

Joel Neves Briard, Vedant Kansara, Roxana Dumitru, Qi Shen, Sweta Patel, You Lim Song, Samvrit Vasudev, Alex J Klein, Bert Vancura, Angela Velazquez and 6 more

Abstract read
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In one paragraph

Article in Neurocritical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Joel Neves BriardDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Vedant KansaraDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Roxana DumitruNewYork Presbyterian Hospital, New York, NY, USA.
Qi ShenDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Sweta PatelNewYork Presbyterian Hospital, New York, NY, USA.
You Lim SongDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Samvrit VasudevDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Alex J KleinDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Bert VancuraDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Angela VelazquezDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Shivani GhoshalDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
David RohDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Sachin AgarwalDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
Soojin ParkDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA.
E Sander ConnollyNewYork Presbyterian Hospital, New York, NY, USA.
Jan ClaassenDepartment of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Building 8GS-300, New York, NY, 10032, USA. jc1439@cumc.columbia.edu.ORCID http://orcid.org/0000-0002-5893-8531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reliability of electronic medical records (EMR) on exposure to sedative and analgesic medications in patients with acute disorders of consciousness is unknown. Our objective was to quantify the accuracy of sedative and analgesic infusion rates derived from the EMR to support its use in Big Data clinical research.

methodsWe conducted a secondary analysis of prospective cohort studies enrolling patients with critical illness who were unresponsive to verbal commands after acute brain injury. During standardized behavioral assessments, research coordinators documented infusing sedative and analgesic medications in case report forms (CRF; reference standard). We paired infusion rates from the CRF with corresponding infusion rates from the EMR (index). For each drug with ≥ 10 EMR-CRF infusion rate pairs, we calculated the concordance correlation coefficient and created Bland-Altman plots to estimate biases and limits of agreement (LOA).

resultsAmong 63 included patients (median [interquartile range (IQR)] age: 61 [46-72] years; 22 [35%] female), we collected 404 EMR-CRF infusion rate pairs (225 fentanyl, 86 propofol, 70 dexmedetomidine, 19 midazolam, 4 ketamine). Concordance correlation coefficients were 0.82 (95% CI: 0.69-0.91) for propofol, 0.93 (95% CI: 0.85-0.97) for fentanyl, 0.92 (95% CI: 0.81-0.98) for dexmedetomidine, and 0.94 (95% CI: 0.55-1.00) for midazolam. Biases (upper LOA, lower LOA) were -3 (17, -22) mcg/kg/min for propofol, -2 (43, -47) mcg/h for fentanyl, -0.01 (0.32, -0.33) mcg/kg/h for dexmedetomidine, and 0.02 (0.30, -0.27) mg/kg/h for midazolam.

conclusionsEMR-derived data on sedative and analgesic infusion rates have variable but overall adequate accuracy to support Big Data research. External validation is required to support its routine use in clinical research.

Indexed as

AnalgesicsBig DataBrain InjuriesConsciousness DisordersElectronic Health RecordsHypnotics and SedativesAgedDexmedetomidineFemaleFentanylHumansKetamineMaleMidazolamMiddle AgedPropofolAnalgesicsDexmedetomidineFentanylHypnotics and SedativesKetamineMidazolamPropofolAnalgesiaConfoundersCritical careDisorders of consciousnessElectronic health recordsElectronic medical recordsIntensive care unitMedicationsSedation

Identifiers

PMID41845148

What Socratic holds

Textmetadata
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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 Socratic graph.