Evidence map›Paper›PMID 38576194›Full record

ArticleAmyotrophic lateral sclerosis & frontotemporal degeneration2024

Assessing pulmonary function in ALS using electrical impedance tomography.

Seward B Rutkove, Courtney E McIlduff, Elijah Stommel, Sean Levy, Christy Smith, Hilda Gutierrez, Sarah Verga, Soleil Samaan, Chebet Yator, Ajitesh Nanda and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Amyotrophic lateral sclerosis & frontotemporal degeneration, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Thoracic electrical impedance tomography for assessing progression of pulmonary dysfunction in ALS.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2025
    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

15 authors at 4 institutions in 1 country.

Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Courtney E McIlduffDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Elijah StommelDepartment of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Sean LevyDepartment of Medicine, Division of Pulmonary and Critical Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA, and.
Christy SmithDepartment of Medicine, Division of Pulmonary and Critical Care, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA, and.
Hilda GutierrezDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Sarah VergaDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Soleil SamaanDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Chebet YatorDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Ajitesh NandaDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Lisa PastelDepartment of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Allaire DoussanThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Kathy PhippsThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Ethan MurphyThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Ryan HalterThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Harvard University · USBeth Israel Deaconess Medical Center · USDartmouth College · USDartmouth–Hitchcock Medical Center · US

Funding

Electrical impedance tomography for the improved assessment of pulmonary function in neuromuscular diseaseR21NS118434 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI HALTER, RYAN JOSEPH, RUTKOVE, SEWARD B. · 2020 to 2020
$495k
NINDS NIH HHS R21 NS118434
6 · The paper itself

Abstract

objectiveWe sought to determine whether thoracic electrical impedance tomography (EIT) could characterize pulmonary function in amyotrophic lateral sclerosis (ALS) patients, including those with facial weakness. Thoracic EIT is a noninvasive, technology in which a multi-electrode belt is placed across the chest, producing real-time impedance imaging of the chest during breathing.

methodsWe enrolled 32 ALS patients and 32 age- and sex-matched healthy controls (HCs) without underlying lung disease. All participants had EIT measurements performed simultaneously with standard pulmonary function tests (PFTs), including slow and forced vital capacity (SVC and FVC) in upright and supine positions and maximal inspiratory and expiratory pressures (MIPs and MEPs, respectively). Intraclass correlation coefficients (ICCs) were calculated to assess the immediate reproducibility of EIT measurements and Pearson's correlations were used to explore the relationships between EIT and PFT values.

resultsData from 30 ALS patients and 27 HCs were analyzed. Immediate upright SVC reproducibility was very high (ICC 0.98). Correlations were generally strongest between EIT and spirometry measures, with

conclusionEIT-based pulmonary measures hold the promise of providing an alternative approach for lung function assessment in ALS patients. Based on these early results, further development and study of this technology are warranted.

Indexed as

Amyotrophic Lateral SclerosisElectric ImpedanceRespiratory Function TestsAdultAgedFemaleHumansLungMaleMiddle AgedReproducibility of ResultsTomographyVital CapacityAmyotrophic lateral sclerosiselectrical impedance tomographypulmonary functionvital capacity

Identifiers

PMID38576194
PMCPMC11269030
OpenAlexW4393987866

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.