Evidence map›Paper›PMID 34418412›Full record

ArticleThe Journal of infection2021

Influenza and anosmia: Important prediction factors for severity and death of COVID-19.

Doo Hwan Kim, Min Gul Kim, Seong J Yang, Eun Jung Lee, Sang Woo Yeom, Yeon Seok You, Jong Seung Kim

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Doo Hwan KimDirector of Big-Data Center, National Health Insurance Service (NHIS), Wonju, Republic of Korea.
Min Gul KimDepartment of Pharmacology, Jeonbuk National University, Jeonju, Republic of Korea.
Seong J YangDepartment of Statistics (Institute of Applied Statistics), Jeonbuk National University, Jeonju, Republic of Korea.
Eun Jung LeeDepartment of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Jeonbuk National University, Jeonju-si 54907, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical, Research Institute of Jeonbuk National University Hospital, Jeonju-si 54907, Republic of Korea.
Sang Woo YeomDepartment of Medical Informatics, College of Medicine, Jeonbuk National University, Jeonju-si 54907, Republic of Korea.
Yeon Seok YouDepartment of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Jeonbuk National University, Jeonju-si 54907, Republic of Korea; Department of Medical Informatics, College of Medicine, Jeonbuk National University, Jeonju-si 54907, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical, Research Institute of Jeonbuk National University Hospital, Jeonju-si 54907, Republic of Korea.
Jong Seung KimDepartment of Otorhinolaryngology-Head and Neck Surgery, College of Medicine, Jeonbuk National University, Jeonju-si 54907, Republic of Korea; Department of Medical Informatics, College of Medicine, Jeonbuk National University, Jeonju-si 54907, Republic of Korea; Research Institute of Clinical Medicine of Jeonbuk National University - Biomedical, Research Institute of Jeonbuk National University Hospital, Jeonju-si 54907, Republic of Korea. Electronic address: kjsjdk@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Influenza, HumanOlfaction DisordersAnosmiaHumansSARS-CoV-2

Identifiers

PMID34418412
PMCPMC8373587

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.