Evidence map›Paper›PMID 24667532›Full record

ArticlePloS one2014

Demographic and clinical predictors of mortality from highly pathogenic avian influenza A (H5N1) virus infection: CART analysis of international cases.

Rita B Patel, Maya B Mathur, Michael Gould, Timothy M Uyeki, Jay Bhattacharya, Yang Xiao, Nayer Khazeni

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The emergence of highly pathogenic avian influenza H5N1 in dairy cattle: implications for public health, animal health, and pandemic preparedness.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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  4. AMMI Canada 2023 update on influenza: Management and emerging issues.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2023
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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

7 authors.

Rita B PatelDivision of Pulmonary and Critical Care Medicine, Stanford University Medical Center, Stanford, California, United States of America.
Maya B MathurDivision of Pulmonary and Critical Care Medicine, Stanford University Medical Center, Stanford, California, United States of America.
Michael GouldKaiser Permanente Southern California, Pasadena, California, United States of America.
Timothy M UyekiInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Jay BhattacharyaCenter for Health Policy and Center for Primary Care and Outcomes Research, Stanford University, Stanford, California, United States of America.
Yang XiaoDepartment of Languages, Literatures, and Cultures, University of South Carolina, Columbia, South Carolina, United States of America.
Nayer KhazeniDivision of Pulmonary and Critical Care Medicine, Stanford University Medical Center, Stanford, California, United States of America; Center for Health Policy and Center for Primary Care and Outcomes Research, Stanford University, Stanford, California, United States of America.

Funding

CORE--PROGRAM DEVELOPMENTP30AG017253 · NIA · STANFORD UNIVERSITY · PI BHATTACHARYA, JAY · 1999 to 2019
$5.8M
Comparative Effectiveness of Mitigation Strategies for Pandemic InfluenzaK08HS019816 · AHRQ · STANFORD UNIVERSITY · PI KHAZENI, NAYER · 2012 to 2016
$683k
AHRQ HHS 1 K08 HS019816AHRQ HHS K08 HS019816NIA NIH HHS P30 AG017253
6 · The paper itself

Abstract

backgroundHuman infections with highly pathogenic avian influenza (HPAI) A (H5N1) viruses have occurred in 15 countries, with high mortality to date. Determining risk factors for morbidity and mortality from HPAI H5N1 can inform preventive and therapeutic interventions.

methodsWe included all cases of human HPAI H5N1 reported in World Health Organization Global Alert and Response updates and those identified through a systematic search of multiple databases (PubMed, Scopus, and Google Scholar), including articles in all languages. We abstracted predefined clinical and demographic predictors and mortality and used bivariate logistic regression analyses to examine the relationship of each candidate predictor with mortality. We developed and pruned a decision tree using nonparametric Classification and Regression Tree methods to create risk strata for mortality.

findingsWe identified 617 human cases of HPAI H5N1 occurring between December 1997 and April 2013. The median age of subjects was 18 years (interquartile range 6-29 years) and 54% were female. HPAI H5N1 case-fatality proportion was 59%. The final decision tree for mortality included age, country, per capita government health expenditure, and delay from symptom onset to hospitalization, with an area under the receiver operator characteristic (ROC) curve of 0.81 (95% CI: 0.76-0.86).

interpretationA model defined by four clinical and demographic predictors successfully estimated the probability of mortality from HPAI H5N1 illness. These parameters highlight the importance of early diagnosis and treatment and may enable early, targeted pharmaceutical therapy and supportive care for symptomatic patients with HPAI H5N1 virus infection.

Indexed as

DemographyModels, StatisticalAdolescentAdultChildChild, PreschoolFemaleFollow-Up StudiesHealth ExpendituresHospitalizationHumansInfantInfant, NewbornInfluenza A Virus, H5N1 SubtypeInfluenza, HumanInternational Agencies

Identifiers

PMID24667532
PMCPMC3965392

What OpenQuestion holds

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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.