Evidence map›Paper›PMID 38845871›Full record

ArticleHeliyon2024

Association of clinical and imaging characteristics with pulmonary function testing in patients with Long-COVID.

Lin-Mei Zhao, Andrew C Lancaster, Ritesh Patel, Helen Zhang, Tim Q Duong, Zhicheng Jiao, Cheng Ting Lin, Terrance Healey, Thaddeus Wright, Jing Wu and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Lin-Mei ZhaoDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andrew C LancasterDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ritesh PatelDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Helen ZhangDepartment of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, USA.
Tim Q DuongDepartment of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.
Zhicheng JiaoDepartment of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, USA.
Cheng Ting LinDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Terrance HealeyDepartment of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, USA.
Thaddeus WrightDepartment of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, USA.
Jing WuDepartment of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Harrison X BaiDepartment of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study is to identify clinical and imaging characteristics associated with post-COVID pulmonary function decline. Methods: This study included 22 patients recovering from COVID-19 who underwent serial spirometry pulmonary function testing (PFT) before and after diagnosis. Patients were divided into two cohorts by difference between baseline and post-COVID follow-up PFT: Decline group (>10 % decrease in FEV1), and Stable group (≤10 % decrease or improvement in FEV1). Demographic, clinical, and laboratory data were collected, as well as PFT and chest computed tomography (CT) at the time of COVID diagnosis and follow-up. CTs were semi-quantitatively scored on a five-point severity scale for disease extent in each lobe by two radiologists. Mann-Whitney U-tests, T-tests, and Chi-Squared tests were used for comparison. P-values <0.05 were considered statistically significant. Results: The Decline group had a higher proportion of neutrophils (79.47 ± 4.83 % vs. 65.45 ± 10.22 %; p = 0.003), a higher absolute neutrophil count (5.73 ± 2.68 × 10 Conclusions: This study provides novel insight into factors influencing post-COVID lung function, irrespective of pre-existing pulmonary conditions. Our findings underscore the significance of neutrophil counts, reduced lymphocyte counts, pulmonary reticulation on chest CT at diagnosis, and extent of GGOs on follow-up chest CT as potential indicators of decreased post-COVID lung function. This knowledge may guide prediction and further understanding of long-term sequelae of COVID-19 infection.

Indexed as

COVID-19CTPulmonary function test

Identifiers

PMID38845871
PMCPMC11153179

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.