Evidence map›Paper›PMID 36817788›Full record

ArticleFrontiers in medicine2023

Six-month follow-up after recovery of COVID-19 Delta variant survivors

Jianliang Huang, Ruikai Lin, Na Bai, Zhongrui Su, Mingxin Zhu, Han Li, Conghai Chai, Mingkai Xia, Ziwei Shu, Zhaowen Qiu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

11 authors at 3 institutions in 2 countries.

Jianliang HuangZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Ruikai LinCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, China.
Na BaiCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, China.
Zhongrui SuZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Mingxin ZhuZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Han LiCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, China.
Conghai ChaiZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Mingkai XiaZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Ziwei ShuYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Zhaowen QiuCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, China.
Mingsheng LeiZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Hunan Normal University · CNNortheast Forestry University · CNNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Using computer-aided diagnosis (CAD) methods to analyze the discharge and 6-month follow-up data of COVID-19 Delta variant survivors, evaluate and summarize the recovery and prognosis, and improve people's awareness of this disease. Methods: This study collected clinical data, SGRQ questionnaire results, and lung CT scans (at both discharge and 6-month follow-up) from 41 COVID-19 Delta variant survivors. Two senior radiologists evaluated the CT scans before in-depth analysis. Deep lung parenchyma enhancing (DLPE) method was used to accurately segment conventional lesions and sub-visual lesions in CT images, and then quantitatively analyze lung injury and recovery. Patient recovery was also measured using the SGRQ questionnaire. The follow-up examination results from this study were combined with those of the original COVID-19 for further comparison. Results: The participants include 13 males (31.7%) and 28 females (68.3%), with an average age of 42.2 ± 17.7 years and an average BMI of 25.2 ± 4.4 kg/m Conclusion: The ground-glass opacity of survivors had dissipated when they were discharged from hospital, and a little fibrosis was seen in CT after 6-month, mainly manifested as irregular lines, punctuate calcification and nodules. After DLPE and quantitative calculations, we found that the degree of fibrosis in the lungs of most survivors was mild, which basically did not affect lung function. However, there are a small number of patients with unabsorbed or increased fibrosis. Survivors mainly had non-pulmonary sequelae such as impaired sleep quality and memory decline. Pulmonary prognosis of Delta variant patients was better than original COVID-19, with fewer and milder sequelae.

Indexed as

COVID-19 sequelaedeep lung parenchyma enhancingDelta variant survivorsfollow-uppulmonary fibrosissub-visual lesion

Identifiers

PMID36817788
PMCPMC9932267
OpenAlexW4319031653

What OpenQuestion holds

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Registered trials

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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.