Evidence map›Paper›PMID 40587404›Full record

ArticleJournal of visualized experiments : JoVE2025

Through-the-Wall Blood Sampling Method to Minimize Sleep Disruption in Clinical Settings.

Grissy Simé Mora, Catherine G Lowry, Ellen J Lyon, Laurie M Biela, David P Thompson, Matthew S Hickey, Corey A Rynders, Josiane L Broussard

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Grissy Simé Mora *Human Performance Clinical Research Laboratory, Department of Health and Exercise Science, Colorado State University.
Catherine G Lowry *Human Performance Clinical Research Laboratory, Department of Health and Exercise Science, Colorado State University.
Ellen J LyonHuman Performance Clinical Research Laboratory, Department of Health and Exercise Science, Colorado State University.
Laurie M BielaHuman Performance Clinical Research Laboratory, Department of Health and Exercise Science, Colorado State University.
David P ThompsonHuman Performance Clinical Research Laboratory, Department of Health and Exercise Science, Colorado State University.
Matthew S HickeyHuman Performance Clinical Research Laboratory, Department of Health and Exercise Science, Colorado State University.
Corey A RyndersHuman Performance Clinical Research Laboratory, Department of Health and Exercise Science, Colorado State University; Anschutz Health and Wellness Center, University of Colorado Anschutz Medical Campus.
Josiane L BroussardHuman Performance Clinical Research Laboratory, Department of Health and Exercise Science, Colorado State University; josiane.broussard@colostate.edu.

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS · 1995 to 2026
$32.6M
Time-restricted feeding to mitigate metabolic impairments during circadian misalignmentR01DK125653 · NIDDK · COLORADO STATE UNIVERSITY · PI BROUSSARD, JOSIANE · 2020 to 2024
$3.3M
Integrating Sleep and Circadian Factors into Machine Learning Models for Personalized Glycemic Response PredictionR01HL168081 · NHLBI · COLORADO STATE UNIVERSITY · PI Josiane Broussard · 2024 to 2026
$2.4M
Transdisciplinary Training in Sleep and Circadian RhythmsT32HL149646 · NHLBI · UNIVERSITY OF COLORADO · PI Kenneth P Wright · 2020 to 2026
$1.6M
NHLBI NIH HHS R01 HL168081NHLBI NIH HHS T32 HL149646NIDDK NIH HHS P30 DK048520NIDDK NIH HHS R01 DK125653
6 · The paper itself

Abstract

Physiological rhythms, including diurnal and circadian rhythms, play a critical role in health, with disturbances increasingly linked to cardiovascular disease and type 2 diabetes. These rhythms are closely tied to sleep-wake cycles, as changes in sleep timing or duration can alter diurnal and circadian rhythms, thereby disrupting physiological homeostasis. Additional factors, such as the timing of behaviors like food intake and/or physical activity, may modulate 24-h rhythms in manners that support health or promote chronic disease risk. Despite the growing recognition of the importance of biological rhythms, obtaining serial blood samples required to elucidate patterns in circulating factors remains a significant challenge in clinical research. Routine blood draw methods can be disruptive to sleep, potentially altering sleep and biological rhythms and subsequently influencing variables of interest. This underscores the need for minimally invasive approaches that allow for the assessment of 24-h biological processes without disturbing sleep or biological rhythms. To address these challenges, many clinical and research groups employ a technique known as a "through-the-wall" blood sampling method. This approach uses extended tubing connected to an indwelling catheter, threaded through a wall or partition to a location outside the participant's room. By enabling blood collection without having to enter the room, this method minimizes disruptions, thereby preserving the integrity of the 24-h profiles of circulating variables of interest and minimally disturbing sleep. Here, we provide a detailed description of the through-the-wall blood sampling method and demonstrate its feasibility and efficacy in collecting blood samples during scheduled sleep opportunities. Representative data from a clinical study are presented, and additional considerations, including the impact of a difficult blood draw on sleep architecture, are discussed.

Indexed as

Blood Specimen CollectionSleepCircadian RhythmHumans

Identifiers

PMID40587404
PMCPMC12821078

What OpenQuestion holds

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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.