Evidence map›Paper›PMID 34015585›Full record

ReviewBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie2021

COVID-19 and metabolic comorbidities: An update on emerging evidences for optimal therapies.

Shuang Hua, Yong Yang, Danqi Zou, Jufei Li, Kaixuan Yan, Ying Xu, Xue Jiang, Xianglu Rong, Dewei Ye

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Socio-cultural Correlates of the COVID-19 Outcomes.Journal of epidemiology and global health · 2022
    Article
  7. Review
  8. 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

9 authors at 2 institutions in 1 country.

Shuang HuaKey Laboratory of Glucolipid Metabolic Diseases of The Ministry of Education, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Yong YangKey Laboratory of Glucolipid Metabolic Diseases of The Ministry of Education, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Danqi ZouKey Laboratory of Glucolipid Metabolic Diseases of The Ministry of Education, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Jufei LiKey Laboratory of Glucolipid Metabolic Diseases of The Ministry of Education, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Kaixuan YanKey Laboratory of Glucolipid Metabolic Diseases of The Ministry of Education, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Ying XuThe First Affiliated Hospital/School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Xue JiangKey Laboratory of Glucolipid Metabolic Diseases of The Ministry of Education, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Xianglu RongKey Laboratory of Glucolipid Metabolic Diseases of The Ministry of Education, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Dewei YeKey Laboratory of Glucolipid Metabolic Diseases of The Ministry of Education, Guangzhou, China; Guangdong Metabolic Disease Research Center of Integrated Chinese and Western Medicine, Guangdong Pharmaceutical University, Guangzhou, China. Electronic address: deweiye@gdpu.edu.cn.
Ministry of Education of the People's Republic of China · CNGuangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus, obesity, hypertension, and other associated metabolic complications have been demonstrated as a crucial contributor to the enhanced morbidity and mortality of patients with coronavirus disease 2019 (COVID-19). Data on the interplay between metabolic comorbidities and the outcomes in patients with COVID-19 have been emerging and rapidly increasing. This implies a mechanistic link between metabolic diseases and COVID-19 resulting in the exacerbation of the condition. Nonetheless, new evidences are emerging to support insulin-mediated aggressive glucose-lowering treatment as a possible trigger of high mortality rate in diabetic COVID-19 patients, putting the clinician in a confounding and difficult dilemma for the treatment of COVID-19 patients with metabolic comorbidities. Thus, this review discusses the pathophysiological link among severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), angiotensin-converting enzyme 2 (ACE2), metabolic complications, and severe inflammation in COVID-19 development, especially in those with multi-organ injuries. We discuss the influence of several routinely used drugs in COVID-19 patients, including anti-inflammatory and anti-coagulant drugs, antidiabetic drugs, renin-angiotensin-aldosterone system inhibitors. Especially, we provide a balanced overview on the clinical application of glucose-lowering drugs (insulin and metformin), angiotensin-converting-enzyme inhibitors, and angiotensin receptor blockers. Although there is insufficient evidence from clinical or basic research to comprehensively reveal the mechanistic link between adverse outcomes in COVID-19 and metabolic comorbidities, it is hoped that the update in the current review may help to better outline the optimal strategies for clinical management of COVID-19 patients with metabolic comorbidities.

Indexed as

COVID-19 Drug TreatmentAnimalsComorbidityHumansMetabolic DiseasesPharmaceutical PreparationsPolypharmacySARS-CoV-2Pharmaceutical PreparationsCOVID-19DiabetesHypertensionMetabolic comorbidities

Identifiers

PMID34015585
PMCPMC8101987
OpenAlexW3157064776

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.