Evidence map›Paper›PMID 38424447›Full record

ArticleScientific reports2024

CT-based Assessment at 6-Month Follow-up of COVID-19 Pneumonia patients in China.

Xingyu Fang, Yuan Lv, Wei Lv, Lin Liu, Yun Feng, Li Liu, Feng Pan, Yijun Zhang

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Xingyu Fang *Department of Radiology, the 305 Hospital of PLA, 13 Wenjin Street, Beijing, 100017, China.
Yuan Lv *Medical Department of General Surgery, Chinese PLA General Hospital, The 1St Medical Center, Beijing, 100853, China.
Wei LvDepartment of Radiology, the 305 Hospital of PLA, 13 Wenjin Street, Beijing, 100017, China.
Lin LiuDepartment of Radiology, the 305 Hospital of PLA, 13 Wenjin Street, Beijing, 100017, China.
Yun FengDepartment of Radiology, the 305 Hospital of PLA, 13 Wenjin Street, Beijing, 100017, China.
Li LiuDepartment of Radiology, the 305 Hospital of PLA, 13 Wenjin Street, Beijing, 100017, China.
Feng PanDepartment of Radiology, the 305 Hospital of PLA, 13 Wenjin Street, Beijing, 100017, China.
Yijun ZhangDepartment of Radiology, the 305 Hospital of PLA, 13 Wenjin Street, Beijing, 100017, China. radiology305@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess pulmonary changes at 6-month follow-up CT and predictors of pulmonary residual abnormalities and fibrotic-like changes in COVID-19 pneumonia patients in China following relaxation of COVID restrictions in 2022. A total of 271 hospitalized patients with COVID-19 pneumonia admitted between November 29, 2022 and February 10, 2023 were prospectively evaluated at 6 months. CT characteristics and Chest CT scores of pulmonary abnormalities were compared between the initial and the 6-month CT. The association of demographic and clinical factors with CT residual abnormalities or fibrotic-like changes were assessed using logistic regression. Follow-up CT scans were obtained at a median of 177 days (IQR, 170-185 days) after hospital admission. Pulmonary residual abnormalities and fibrotic-like changes were found in 98 (36.2%) and 39 (14.4%) participants. In multivariable analysis of pulmonary residual abnormalities and fibrotic-like changes, the top three predictive factors were invasive ventilation (OR 13.6; 95% CI 1.9, 45; P < .001), age > 60 years (OR 9.1; 95% CI 2.3, 39; P = .01), paxlovid (OR 0.11; 95% CI 0.04, 0.48; P = .01) and invasive ventilation (OR 10.3; 95% CI 2.9, 33; P = .002), paxlovid (OR 0.1; 95% CI 0.03, 0.48; P = .01), smoker (OR 9.9; 95% CI 2.4, 31; P = .01), respectively. The 6-month follow-up CT of recent COVID-19 pneumonia cases in China showed a considerable proportion of the patients with pulmonary residual abnormalities and fibrotic-like changes. Antivirals against SARS-CoV-2 like paxlovid may be beneficial for long-term regression of COVID-19 pneumonia.

Indexed as

COVID-19ChinaFollow-Up StudiesHumansLungMiddle AgedSARS-CoV-2Tomography, X-Ray ComputedCOVID-19Follow-upPneumoniaSARS-CoV-2Tomography, X-ray

Identifiers

PMID38424447
PMCPMC10904828

What Socratic 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 Socratic graph.