Evidence map›Paper›PMID 37213566›Full record

ReviewCurrent pharmacology reports2023

The Emergence of Mpox: Epidemiology and Current Therapeutic Options.

Samriddhi Ranjan, Kanupriya Vashishth, Katrin Sak, Hardeep Singh Tuli

Abstract readReview
In one paragraph

Review in Current pharmacology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Review
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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.

Samriddhi Ranjan4400 University Drive Fairfax, Fairfax, VA 22030 USA College of Public Health, George Mason University.
Kanupriya VashishthChandigarh, 160012 India Advance Cardiac Centre Department of Cardiology, PGIMER.
Katrin SakNGO Praeventio, Tartu, Estonia.
Hardeep Singh TuliMullana-Ambala, Haryana, 133207 India Department of Biotechnology, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to Be University).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world recently witnessed the emergence of new epidemic outbreaks like COVID-19 and mpox. The 2022 outbreak of mpox amid COVID-19 presents an intricate situation and requires strategies to combat the status quo. Some of the challenges to controlling an epidemic include present knowledge of the disease, available treatment options, appropriate health infrastructures facilities, current scientific methods, operations concepts, availability of technical staff, financial funds, and lastly international policies to control an epidemic state. These insufficiencies often hinder the control of disease spread and jeopardize the health of countless people. Also, disease outbreaks often put a huge burden on the developing economies. These countries are the worst affected and are immensely dependent on assistance provided from the larger economies to control such outbreaks. The first case of mpox was reported in the 1970s and several outbreaks were detected thereafter in the endemic areas eventually leading to the recent outbreak. Approximately, more than 80,000 individuals were infected, and 110 countries were affected by this outbreak. Yet, no definite vaccines and drugs are available to date. The lack of human clinical trials affected thousands of individuals in availing definite disease management. This paper focuses on the epidemiology of mpox, scientific concepts, and treatment options including future treatment modalities for mpox.

Indexed as

DNA virus infectionsMpoxOrthopoxvirusPublic health emergency

Identifiers

PMID37213566
PMCPMC10160711

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.