Evidence map›Paper›PMID 32437931›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

On the crucial role of multilingual biomedical databases in epidemic events (SARS-CoV-2 analysis).

Felipe Soares, Gabrielli Harumi Yamashita

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. COVID term: a bilingual terminology for COVID-19.BMC medical informatics and decision making · 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

2 authors.

Felipe SoaresUniversity of Sheffield, Computer Science Department, NLP Group, United Kingdom; Universidade Federal do Rio Grande do Sul, Departamento de Engenharia de Produção, Brazil. Electronic address: fs@felipesoares.net.
Gabrielli Harumi YamashitaUniversidade Federal do Rio Grande do Sul, Departamento de Engenharia de Produção, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The need for multilingual biomedical databases was already pointed out by different authors. They argue about the need for making translations available in other languages and centralized access to regional databases and that one should not disregard citations in other languages. This fact could not be any more real in the current situation regarding the novel coronavirus. When considering treatment, diagnosis and prevention, around 44% of the articles in PubMed were written in Chinese. This prompts the urgent need for quality automatic translation to make such extremely valuable information available to medical personnel in as many languages as possible. We also point out that the community should also make efforts to guarantee editorial quality and to follow the best practices in editing and publishing. This is of critical importance as well, such that the content is properly scrutinized before being published.

Indexed as

BetacoronavirusBiomedical ResearchLanguageCoronavirus InfectionsCOVID-19Databases, FactualHumansPandemicsPneumonia, ViralSARS-CoV-2Biomedical databasesEpidemicsNatural Language Processing

Identifiers

PMID32437931
PMCPMC7211736

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.