Evidence map›Paper›PMID 34703628›Full record

ArticleBiochemistry research international2021

A Biochemical Analysis of Patients with COVID-19 Infection.

Adil R Sarhan, Thaer A Hussein, Mohammed H Flaih, Khwam R Hussein

Open access · goldAbstract read
In one paragraph

Article in Biochemistry research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. A Biochemical Analysis of Patients with COVID-19 Infection.Biochemistry research international · 2021
    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

4 authors at 1 institution in 1 country.

Adil R SarhanDepartment of Medical Laboratory Techniques, Nasiriyah Technical Institute, Southern Technical University, Nasiriyah 64001, Iraq.ORCID https://orcid.org/0000-0003-2163-4910
Thaer A HusseinDepartment of Medical Laboratory Techniques, Nasiriyah Technical Institute, Southern Technical University, Nasiriyah 64001, Iraq.ORCID https://orcid.org/0000-0003-0920-1557
Mohammed H FlaihDepartment of Medical Laboratory Techniques, Nasiriyah Technical Institute, Southern Technical University, Nasiriyah 64001, Iraq.ORCID https://orcid.org/0000-0001-9824-6778
Khwam R HusseinDepartment of Medical Laboratory Techniques, Nasiriyah Technical Institute, Southern Technical University, Nasiriyah 64001, Iraq.ORCID https://orcid.org/0000-0003-4178-7922
Southern Technical University · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have demonstrated that age, comorbidities, and abnormalities in different clinical biomarkers can be important to understand disease severity. Although clinical features of COVID-19 have been widely described, the assessment of alterations of the most common biochemical markers that are reported in patients with COVID-19 still has not been well established. Here, we report clinical and blood biochemical indicators of 100 patients with COVID-19. Throat-swab upper respiratory samples were obtained from patients and real-time PCR was used to confirm SARS-CoV-2 infection. Gender, age, and clinical features such as diabetes mellitus, hypertension, and smoking habits were investigated. Biochemical parameters were categorized and analyzed according to these clinical characteristics. Triglycerides, GPT, and ALP are the biochemical markers that changed the most in the group of hypertension patients. Cholesterol and triglycerides were significantly different (

Identifiers

PMID34703628
PMCPMC8542065
OpenAlexW3211139636

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.