Evidence map›Paper›PMID 36267264›Full record

ArticleInfection and drug resistance2022

Long-Term Follow-Up Study of COVID-19: Evaluation on Thin-Slice CT.

Chun-Shuang Guan, Zhi-Juan Liu, Yan-Ni Du, Hui Chen, Yan Bai, Zhi-Bin Lv, Yan-Li Xu, Ru-Ming Xie, Bu-Dong Chen

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Chun-Shuang Guan *Department of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Zhi-Juan Liu *Chronic Disease Management Centre, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0003-1294-1097
Yan-Ni Du *Department of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Hui ChenDepartment of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Yan BaiDepartment of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Zhi-Bin LvDepartment of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Yan-Li XuChronic Disease Management Centre, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-9151-6234
Ru-Ming Xie *Department of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Bu-Dong Chen *Department of Radiology, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To retrospectively analyse the CT imaging during the long-term follow-up of COVID-19 patients after discharge. Patients and Methods: A total of 122 patients entered the study group. All patients underwent CT examinations. The CT images, which included distribution and imaging signs, were evaluated by two chest radiologists. Laboratory examinations included routine blood work, biochemical testing, and SARS-CoV-2 antibody screening. Statistical methods include chi-square, Fisher's exact test, one-way analysis of variance, rank sum test and logistic regression by SPSS 17.0. Results: There were 22 (18.0%) patients in the mild group, 74 (60.7%) patients in the moderate group, and 26 (21.3%) patients in the severe-critical group. The median follow-up interval was 405 days (378.0 days, 462.8 days). Only monocytes, prothrombin activity, and γ-glutamyltransferase showed significant differences among the three groups. We found that the more severe the patient's condition, the more SARS-CoV-2 IgG antibodies existed. Only 11 patients (11.0%) showed residual lesions on CT. The CT manifestations included irregular linear opacities in nine cases (9.0%), reticular patterns in six cases (6.0%), and GGOs in five cases (5.0%). Conclusion: The proportion of residual lesions on CT in COVID-19 patients was significantly reduced after long-term follow-up. The patients' age and disease conditions were positively correlated with residual lesions.

Indexed as

COVID-19follow-up studieslungtomographyX-ray computed

Identifiers

PMID36267264
PMCPMC9578718
OpenAlexW4306686893

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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.