Evidence map›Paper›PMID 21122221›Full record

ArticleEmerging infectious diseases2010

Pandemic (H1N1) 2009 infection in patients with hematologic malignancy.

Catherine Liu, Brian S Schwartz, Snigdha Vallabhaneni, Michael Nixon, Peter V Chin-Hong, Steven A Miller, Charles Chiu, Lloyd Damon, W Lawrence Drew

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2010. 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
2.1field-weighted citation impact, top 13% 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, 18 citations in OpenAlex.

  1. Trial
  2. Article
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  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

9 authors at 4 institutions in 3 countries.

Catherine LiuUniversity of California, San Francisco, Division of Infectious Diseases, California 94143-0654, USA. catherine.liu@ucsf.edu
Brian S Schwartz
Snigdha Vallabhaneni
Michael Nixon
Peter V Chin-Hong
Steven A Miller
Charles Chiu
Lloyd Damon
W Lawrence Drew
Eisai (United Kingdom) · GBUniversity of California, Irvine · USUniversity of California, San Francisco · USBristol-Myers Squibb (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess outcomes of patients with hematologic malignancy and pandemic (H1N1) 2009 infection, we reviewed cases during June-December 2009 at the University of California San Francisco Medical Center. Seventeen (63%) and 10 (37%) patients had upper respiratory tract infection (URTI) and lower respiratory tract infection (LRTI), respectively. Cough (85%) and fever (70%) were the most common signs; 19% of patients had nausea, vomiting, or diarrhea. Sixty-five percent of URTI patients were outpatients; 35% recovered without antiviral therapy. All LRTI patients were hospitalized; half required intensive care unit admission. Complications included acute respiratory distress syndrome, pneumomediastinum, myocarditis, and development of oseltamivir-resistant virus; 3 patients died. Of the 3 patients with nosocomial pandemic (H1N1) 2009, 2 died. Pandemic (H1N1) 2009 may cause serious illness in patients with hematologic malignancy, primarily those with LRTI. Rigorous infection control, improved techniques for diagnosing respiratory disease, and early antiviral therapy can prevent nosocomial transmission and optimize patient care.

Indexed as

Influenza A Virus, H1N1 SubtypePandemicsAcademic Medical CentersAdolescentAdultAgedAged, 80 and overAntiviral AgentsChildCross InfectionDrug Therapy, CombinationFemaleHematologic NeoplasmsHumansInfluenza, HumanMaleAntiviral Agents

Identifiers

PMID21122221
PMCPMC3294592
OpenAlexW2113511222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.