Evidence map›Paper›PMID 35150210›Full record

ArticlePhysiological reports2022

Sex-dependent jugular vein optical attenuation and distension during head-down tilt and lower body negative pressure.

Courtney A Patterson, Robert Amelard, Essi Saarikoski, Hannah Heigold, Richard L Hughson, Andrew D Robertson

Abstract read
In one paragraph

Article in Physiological reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Courtney A PattersonSchlegel-University of Waterloo Research Institute for Aging, Waterloo, Ontario, Canada.
Robert AmelardSchlegel-University of Waterloo Research Institute for Aging, Waterloo, Ontario, Canada.
Essi SaarikoskiSchlegel-University of Waterloo Research Institute for Aging, Waterloo, Ontario, Canada.
Hannah HeigoldDepartment of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada.
Richard L HughsonSchlegel-University of Waterloo Research Institute for Aging, Waterloo, Ontario, Canada.
Andrew D RobertsonSchlegel-University of Waterloo Research Institute for Aging, Waterloo, Ontario, Canada.ORCID https://orcid.org/0000-0002-9095-9877

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-contact coded hemodynamic imaging (CHI) is a novel wide-field near-infrared spectroscopy system which monitors blood volume by quantifying attenuation of light passing through the underlying vessels. This study tested the hypothesis that CHI-based jugular venous attenuation (JVA) would be larger in men, and change in JVA would be greater in men compared to women during two fluid shift challenges. The association of JVA with ultrasound-based cross-sectional area (CSA) was also tested. Ten men and 10 women completed three levels of head-down tilt (HDT) and four levels of lower body negative pressure (LBNP). Both JVA and CSA were increased by HDT and reduced by LBNP (all p < 0.001). Main effects of sex indicated that JVA was higher in men than women during both HDT (p = 0.003) and LBNP (p = 0.011). Interaction effects of sex and condition were observed for JVA during HDT (p = 0.005) and LBNP (p < 0.001). We observed moderate repeated-measures correlations (r

Indexed as

Head-Down TiltSexAdultFemaleHumansJugular VeinsLower Body Negative PressureMaleOptical ImagingSensitivity and Specificityfluid shiftinternal jugular veinnon-contact optical imagingvenous congestion

Identifiers

PMID35150210
PMCPMC8838633

What OpenQuestion holds

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Registered trials

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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.