Evidence map›Paper›PMID 31584959›Full record

ArticlePLoS neglected tropical diseases2019

Portable infrared imaging for longitudinal limb volume monitoring in patients with lymphatic filariasis.

Celia Zhou, Channa Yahathugoda, Lalindi De Silva, Upeksha Rathnapala, Grant Owen, Mirani Weerasooriya, Ramakrishna U Rao, Gary J Weil, Philip J Budge

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Podoconiosis: key priorities for research and implementation.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2020
    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

9 authors at 2 institutions in 2 countries.

Celia ZhouDepartment of Biochemistry and Molecular Biology, Wake Forest University, Winston-Salem, North Carolina, United States of America.
Channa YahathugodaFilariasis Research Training and Services Unit, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Lalindi De SilvaFilariasis Research Training and Services Unit, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Upeksha RathnapalaFilariasis Research Training and Services Unit, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.ORCID 0000-0001-6259-616X
Grant OwenInfectious Diseases Division, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Mirani WeerasooriyaFilariasis Research Training and Services Unit, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Ramakrishna U RaoInfectious Diseases Division, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-3710-4642
Gary J WeilInfectious Diseases Division, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-6336-3824
Philip J BudgeInfectious Diseases Division, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-0069-2372
Washington University in St. Louis · USUniversity of Ruhuna · LK

Funding

IMPROVED ANTIGEN DETECTION TESTS FOR FILARIAL INFECTIONSK08AI121422 · NIAID · WASHINGTON UNIVERSITY · PI BUDGE, PHILIP · 2016 to 2020
$856k
NIAID NIH HHS K08 AI121422
6 · The paper itself

Abstract

backgroundThe Global Programme to Eliminate Lymphatic Filariasis (LF) emphasizes hygiene, exercise, and other measures to reduce morbidity and disability related to LF. We recently reported that a portable, three-dimensional, infrared imaging system (3DIS) provides accurate limb volume measurements in patients with filarial lymphedema. To assess the practical utility of repeated 3DIS measurements for longitudinal lymphedema management, we examined intraday and day-to-day leg volume changes in adults with filarial lymphedema in southern Sri Lanka. METHODOLOGY AND PRINCIPAL

findingsWe assessed 41 participants with lower extremity lymphedema (stages 1-6) in their homes in the mornings (6:00-9:00 AM) and afternoons (2:00-6:00 PM) of three days within one calendar week. Two examiners performed replicate 3DIS volume measurements at each visit. Median coefficient of variation among replicate volume measurements was 1.7% (IQR 1.1% - 2.3%) for left legs and 2.2% (IQR 1.6% - 2.8%) for right legs. Median intraday volume increase was 3.0%. Range among daily volume measurements tended to be lower for afternoon measurements (median 2.25%, IQR 1.4%- 5.4%) than for morning measurements (median 3.0%, IQR 1.4% - 8.4%). CONCLUSIONS AND SIGNIFICANCE: Limb volume measurements by 3DIS are accurate and reproducible, and this technique is feasible for use in patients' homes. We have developed practical suggestions for optimal outcomes with 3DIS. Duplicate measurements should be performed and repeat assessments should be done at approximately the same time of day to minimize bias. Duplicate measures that vary by more than 8% should prompt review of scanning technique with a repeat measurement. With proper training and attention to technique, 3DIS can be a valuable tool for healthcare workers who work with lymphedema patients.

Indexed as

Infrared RaysAdultAgedElephantiasis, FilarialExtremitiesFemaleHealth PersonnelHumansImaging, Three-DimensionalLegLymphedemaMaleMiddle AgedSri Lanka

Identifiers

PMID31584959
PMCPMC6795459
OpenAlexW2977978282

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.