Evidence map›Paper›PMID 23439349›Full record

ArticleJournal of strength and conditioning research2013

More complicated than it looks: the vagaries of calculating intra-abdominal pressure.

Nadia M Hamad, Janet M Shaw, Ingrid E Nygaard, Tanner J Coleman, Yvonne Hsu, Marlene Egger, Robert W Hitchcock

Abstract read
In one paragraph

Article in Journal of strength and conditioning research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Observational
  5. Observational
  6. Intrinsic factors contributing to elevated intra-abdominal pressure.Computer methods in biomechanics and biomedical engineering · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
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

7 authors.

Nadia M Hamad1Department of Exercise and Sport Science, University of Utah College of Health, Salt Lake City, Utah; 2Department of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, Utah; 3Department of Bioengineering, University of Utah, Salt Lake City, Utah; and 4Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah.
Janet M Shaw
Ingrid E Nygaard
Tanner J Coleman
Yvonne Hsu
Marlene Egger
Robert W Hitchcock

Funding

WIRELESS REMOTE ABDOMINAL PRESSURE SYSTEM: DEVELOPING A MORE COMPREHENSIVE UNDERSR01HD061787 · NICHD · UNIVERSITY OF UTAH · PI NYGAARD, INGRID E · 2009 to 2013
$1.8M
NICHD NIH HHS R01 HD061787NICHD NIH HHS R01HD061787-01
6 · The paper itself

Abstract

Activities thought to induce high intra-abdominal pressure (IAP), such as lifting weights, are restricted in women with pelvic floor disorders. Standardized procedures to assess IAP during activity are lacking and typically only focus on maximal IAP variably defined. Our intent in this methods article is to establish the best strategies for calculating maximal IAP and to add area under the curve and first moment of the area as potentially useful measures in understanding biologic effects of IAP. Thirteen women completed a range of activities while wearing an intravaginal pressure transducer. We first analyzed various strategies heuristically using data from 3 women. The measure that seemed to best represent maximal IAP was an average of the 3, 5, or 10 highest values, depending on activity, determined using a top-down approach, with peaks at least 1 second apart using algorithms written for Matlab computer software, we then compared this strategy with others commonly reported in the literature quantitatively using data from 10 additional volunteers. Maximal IAP calculated using the top-down approach differed for some, but not all, activities compared with the single highest peak or to averaging all peaks. We also calculated area under the curve, which allows for a time component, and first moment of the area, which maintains the time component while weighing pressure amplitude. We validated methods of assessing IAP using computer-generated sine waves. We offer standardized methods for assessing maximal area under the curve and first moment of the area for IAP to improve future reporting and application of this clinically relevant measure in exercise science.

Indexed as

AlgorithmsPressureAbdominal CavityAdultArea Under CurveBicyclingExercise TestFemaleHumansLiftingRunningSignal Processing, Computer-AssistedSoftwareTransducers, PressureVaginaValsalva Maneuver

Identifiers

PMID23439349
PMCPMC3710314

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.