Evidence map›Paper›PMID 28242824›Full record

ArticlePhysiological reports2017

Gender differences in tibial microvascular flow responses to head down tilt and lower body negative pressure.

Jamila H Siamwala, Brandon R Macias, Paul C Lee, Alan R Hargens

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Sex-Specific Characteristics of the Microcirculation.Advances in experimental medicine and biology
    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

4 authors at 1 institution in 1 country.

Jamila H SiamwalaDepartment of Orthopedic Surgery, University of California, San Diego, California jsiamwala@ucsd.edu.ORCID http://orcid.org/0000-0001-9482-9183
Brandon R MaciasDepartment of Orthopedic Surgery, University of California, San Diego, California.
Paul C LeeDepartment of Orthopedic Surgery, University of California, San Diego, California.
Alan R HargensDepartment of Orthopedic Surgery, University of California, San Diego, California.
University of California System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of the investigation was to study lower body negative pressure recovery in response to head down tilt position in men and women. The study examined the primary hypothesis that tibial bone microvascular flow responses to HDT and lower body negative pressure (LBNP) differ in women and men. Nine women and nine men between 20 to 30 years of age participated in the study. Tibial microvascular flow, head and tibial oxygenation and calf circumference were measured using photoplethysmography (PPG), near-infrared spectroscopy (NIRS) and strain gauge plethysmography (SGP), respectively, during sitting (control baseline), supine, 15° HDT, and 15° HDT with 25 mmHg LBNP Tibial microvascular flow with HDT increased by 57% from supine position (from 1.4V ± 0.7 to 2.2V ± 1.0 HDT; ANOVA

Indexed as

Head-Down TiltLower Body Negative PressureSex CharacteristicsAdultBlood PressureFemaleHeart RateHumansMaleMicrovesselsPhotoplethysmographyRegional Blood FlowSpectroscopy, Near-InfraredTibiaYoung AdultBone microvascular flowhead down tiltlimb girthlower body negative pressureoxygenationphotoplethysmographyspaceflight

Identifiers

PMID28242824
PMCPMC5328775
OpenAlexW2593473948

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.