Evidence map›Paper›PMID 23382162›Full record

ArticleThe American journal of tropical medicine and hygiene2013

Clinical factors predictive of pneumonia caused by pandemic 2009 H1N1 influenza virus.

Sawan Kanchana, Supannakhon Kanchana, Teerapon Vijitsopa, Kreeta Thammakumpee, Sukit Yamwong, Kittisak Sawanyawisuth

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Epidemiological, clinical characteristics of cases of SARS-CoV-2 infection with abnormal imaging findings.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Article
  5. Article
  6. Review
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

6 authors at 1 institution in 1 country.

Sawan KanchanaDepartment of Medicine, Thungsong Hospital, Walailak University School of Medicine, Nakhon Si Thammarat, Thailand. Doctornursethailoyalty@hotmail.com
Supannakhon Kanchana
Teerapon Vijitsopa
Kreeta Thammakumpee
Sukit Yamwong
Kittisak Sawanyawisuth
Walailak University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pneumonia was the most common cause of death during the 2009 pandemic H1N1 influenza virus infection. Clinical risk factors for pneumonia caused by this virus are limited. We enrolled consecutive patients treated at the H1N1 Clinic in Thungsong Hospital in Nakhon Si Thammarat, Thailand, during June-December 2009 who had positive polymerase chain reaction results for H1N1 virus. Clinical features for patients given a diagnosis with and without pneumonia were studied. There were 441 patients with positive polymerase chain reaction results for H1N1 virus. Of these patients, 51 (11.56%) had pneumonia. Three independent clinical factors for H1N1 pneumonia were myalgia, dyspnea, and an absolute neutrophil count > 7,700 cells/μL. Adjusted odds ratios (95% confidence intervals) for these three variables were 0.413 (0.173-0.988), 2.625 (1.230-5.604), and 4.475 (1.882-10.644), respectively. Clinical features may be a useful tool for predicting risk for pneumonia caused by H1N1 virus.

Indexed as

Influenza A Virus, H1N1 SubtypePandemicsAdolescentFemaleHumansInfluenza, HumanInfluenza VaccinesMaleOdds RatioPneumonia, ViralRisk FactorsThailandYoung AdultInfluenza Vaccines

Identifiers

PMID23382162
PMCPMC3592525
OpenAlexW2109503883

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.