Evidence map›Paper›PMID 38062429›Full record

ArticleBMC public health2023

Assessment of post-COVID-19 fatigue among female survivors 2 years after hospital discharge: a nested case-control study.

Yidan Ye, Chuyue Xiong, Yang Dai, Yan Wang, Xinyue Yang, Lixia Cheng, Chao Hou, Naifu Nie, Huan Tang, Xiangyu Ma and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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.

Yidan Ye *Department of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Chuyue Xiong *Department of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Yang Dai *Department of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Yan WangDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Xinyue YangDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Lixia ChengDepartment of Medical and Research Management, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Chao HouDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Naifu NieDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Huan TangDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Xiangyu MaDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
Anqiang ZhangDepartment of Trauma Medical Center, Daping Hospital, State Key Laboratory of Trauma, Burns, and Combined Injury, Third Military Medical University (Army Medical University), Chongqing, China.
Guoqiang CaoDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Yong HeDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China.
Ji JiangDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China. 1023599733@qq.com.
Li LiDepartment of Respiratory Medicine, Daping Hospital, Third Military Medical University, Army Medical University, Chongqing, 400042, China. dpyyhxlili@tmmu.edu.cn.ORCID 0000-0002-0208-7475

Funding

Chongqing Talent Fund CQYC202005003Joint Scientific Research Project of the Chongqing Health Commission and the Science and Technology Commission 2020FYYX213National Natural Science Foundation of China 82272908National Natural Science Foundation of Chongqing 2023NSCQ-JQX0190Open Project Program of the State Key Laboratory of Trauma, Burn and Combined Injury SKLYQ202102Outstanding Youth Science Fund of Chongqing cstc2020jcyjjqX0014
6 · The paper itself

Abstract

backgroundFatigue is a common symptom of long COVID syndrome. Compared to male survivors, females have a higher incidence of post-COVID fatigue. Therefore, long-term follow-up is necessary to understand which groups of females are more vulnerable to post-COVID fatigue.

methodsThis is a nested case-control study of female COVID-19 survivors who were discharged from two designated hospitals in Wuhan, China in 2020, and received 2-year follow-up from March 1 to April 6, 2022. All patients completed the Checklist Individual Strength-subscale subjective fatigue (CIS-fatigue), a chronic obstructive pulmonary disease (COPD) assessment test (CAT), and the Hospital Anxiety and Depression Scale (HADS; including the HADS-Anxiety [HADS-A] and the HADS-Depression [HADS-D]). Individuals with CIS-fatigue scores of 27 or higher were classified as cases. The risk factors for fatigue was analysed with multivariable logistic regression analysis.

resultsA total of 899 female COVID-19 survivors were enrolled for analysis, including 47 cases and 852 controls. Compared with controls, cases had higher CAT, HADS-A and HADS-D scores, and showed a higher prevalence of symptoms, including anxiety (cases vs. controls, 44.7% vs. 4.0%, p < 0.001), chest tightness (21.2% vs. 2.3%, p < 0.001), dyspnoea (19.1% vs. 0.8%, p < 0.001) and so on. In multivariable logistic regression analysis, age (OR, 1.03; 95% CI, 1.01-1.06; p = 0.02) and cerebrovascular disease (OR, 11.32; 95% CI, 2.87-43.00; p < 0.001) were risk factors for fatigue. Fatigue had a statistically significant moderate correlation with depression (r = 0.44, p < 0.001), but not with CAT ≥ 10.

conclusionFemale COVID-19 patients who had cerebrovascular disease and older age have higher risk of fatigue. Patients with fatigue have higher CAT scores, and are more likely to have concurrent depression.

Indexed as

Cerebrovascular DisordersCOVID-19AnxietyCase-Control StudiesDepressionFatigueFemaleHumansMalePatient DischargePost-Acute COVID-19 SyndromeSurvivorsCOVID-19FatigueFemaleHADSSARS-CoV-2

Identifiers

PMID38062429
PMCPMC10704782

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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.