Evidence map›Paper›PMID 34864629›Full record

ArticleThe American journal of emergency medicine2022

Changes in COVID-19 IgM and IgG antibodies in emergency medical technicians (EMTs).

Peyman Saberian, Shahab Falahi, Alireza Baratloo, Parisa Hasani-Sharamin, Ali Ahmadzade, Mahnaz Jamshididana, Zohreh Ahmadihatam

Open access · greenAbstract read
In one paragraph

Article in The American journal of emergency medicine, 2022. 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
0.6field-weighted citation impact, top 29% 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, 10 citations in OpenAlex.

  1. Assessment ofNew microbes and new infections · 2024
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

7 authors at 3 institutions in 1 country.

Peyman SaberianPrehospital and Hospital Emergency Research Center, Tehran University of Medical Sciences, Tehran, Iran; Anesthesiology Department, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: peymansaberian61@gmail.com.
Shahab FalahiZoonotic Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran.
Alireza BaratlooPrehospital and Hospital Emergency Research Center, Tehran University of Medical Sciences, Tehran, Iran; Department of Emergency Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: arbaratloo@sina.tums.ac.ir.
Parisa Hasani-SharaminTehran Emergency Medical Service Center, Tehran, Iran.
Ali AhmadzadePrehospital and Hospital Emergency Research Center, Tehran University of Medical Sciences, Tehran, Iran; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mahnaz JamshididanaTehran Emergency Medical Service Center, Tehran, Iran.
Zohreh AhmadihatamTehran Emergency Medical Service Center, Tehran, Iran.
Tehran University of Medical Sciences · IRIlam University · IRSina Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSerologic testing can provide a safe and fast approach for assessing SARS-CoV-2 antibodies. These tests can be utilized as a complementary method in diagnosis and patients' follow-up, and can also be helpful in epidemiological studies. This study aimed to describe temporal changes in the incidence of COVID-19 IgM and IgG antibodies in emergency medical technicians (EMTs) within a specified time period.

methodsAll EMTs working for Tehran Emergency Medical Service (EMS) center during May to September 2020 were eligible for this study. Those EMTs who were suspected/probable/confirmed cases of COVID-19, based on WHO defined criteria and were willing to participate, entered the study. The EMTs underwent serology testing four weeks after the occurrence of exposure (in suspected cases) or onset of their symptoms (in probable/confirmed cases). Cases were further confirmed by RT-PCR and/or lung CT, and antibody testing was performed for the second and third time with 12-week intervals. Finger-stick blood sampling was utilized for the specimen collection in three different phases. Samples were then analyzed by a commercial immunochromatography-based kit for qualitative measurement of serum IgM and IgG antibodies against the COVID-19 S-protein antigen.

resultsTwo hundred eighty-four participants met the inclusion criteria; their mean age was 35.9 (SD = 7.6) years and consisted of 244 (85.9%) males. COVID-19 was confirmed in 169 out of 284 participants. Subsequently, 142 and 122 participants were included in phases 2 and 3 of the study, respectively. The number of seronegative patients exceeded seropositive ones in all three phases. At baseline, 162 (57%) patients were seronegative, 27 (9.5%) were only positive for IgG, 3 (1.1%) were only positive for IgM, and 92 (32.4%) were positive for both antibodies; Seventy-eight (54.9%) were seronegative, and 31 (21.8%) were positive for both antibodies in the second phase; These values were 85 (69.6%) and 8 (6.6%) for the third phase, respectively. Among the people who were positive IgG in the first phase (80 people), 56.3% were still positive in the second phase and 27.5% in both subsequent phases.

conclusionThe results of our study show that there is a significant reduction in COVID-19 antibody seropositivity over time.

Indexed as

Emergency Medical TechniciansAdultAntibodies, ViralCOVID-19FemaleHumansImmunoglobulin GImmunoglobulin MIranMaleReinfectionSARS-CoV-2SeroconversionTime FactorsAntibodies, ViralImmunoglobulin GImmunoglobulin MCOVID-19Emergency medical techniciansIgG antibodiesIgM antibodies

Identifiers

PMID34864629
PMCPMC8594169
OpenAlexW3213467386

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.