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The frequency of influenza and bacterial coinfection: a systematic review and meta-analysis.
Open accessAbstract
Aim: Coinfecting bacterial pathogens are a major cause of morbidity and mortality in influenza. However, there remains a paucity of literature on the magnitude of coinfection in influenza patients. Method: A systematic search of Me SH , Cochrane Library, Web of Science, SCOPUS , EMBASE , and PubMed was performed. Studies of humans in which all individuals had laboratory confirmed influenza, and all individuals were tested for an array of common bacterial species, met inclusion criteria. Results: Twenty‐seven studies including 3215 participants met all inclusion criteria. Common etiologies were defined from a subset of eight articles. There was high heterogeneity in the results ( I 2 = 95%), with reported coinfection rates ranging from 2% to 65%. Although only a subset of papers were responsible for observed heterogeneity, subanalyses and meta‐regression analysis found no study characteristic that was significantly associated with coinfection. The most common coinfecting species were Streptococcus pneumoniae and Staphylococcus aureus , which accounted for 35% (95% CI , 14%–56%) and 28% (95% CI , 16%–40%) of infections, respectively; a wide range of other pathogens caused the remaining infections. An assessment of bias suggested that lack of small‐study publications may have biased the results. Conclusions: The frequency of coinfection in the published studies included in this review suggests that although providers should consider possible bacterial coinfection in all patients hospitalized with influenza, they should not assume all patients are coinfected and be sure to properly treat underlying viral processes. Further, high heterogeneity suggests additional large‐scale studies are needed to better understand the etiology of influenza bacterial coinfection.
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TL;DR
This systematic review and meta-analysis found that bacterial coinfection in laboratory-confirmed influenza patients was highly variable across studies, with reported rates from 2% to 65%. Streptococcus pneumoniae and Staphylococcus aureus were the most common coinfecting pathogens, but heterogeneity was too high to support a single pooled coinfection estimate.
Key findings
- Twenty-seven studies including 3215 participants met inclusion criteria; reported bacterial coinfection ranged from 2% to 65%, with high heterogeneity (I² = 95%).
- Among eight studies with species-level data (334 patients), S. pneumoniae accounted for 35% (95% CI, 14%–56%) and S. aureus for 28% (95% CI, 16%–40%) of identified coinfecting bacteria.
- After excluding seven studies that contributed more than 50% of heterogeneity, the remaining 20 studies representing 64% of patients had coinfection proportions between 11% and 35% (I² = 37%).
- No study characteristic examined—age, setting, enrollment year, study design, study size, or bacterial collection/detection method—was significantly associated with coinfection frequency.
Methods
- Systematic review and meta-analysis reported per PRISMA, searching MeSH, Cochrane Library, Web of Science, SCOPUS, EMBASE, and PubMed in August 2014; inclusion required human studies with all individuals having laboratory-confirmed influenza and all tested for common bacterial species.
- Data from 27 observational studies (13 prospective, 14 retrospective) were extracted; most enrolled hospitalized patients, with 11 studies focused on ICU patients, 10 on non-ICU hospitalized patients, 3 on ED patients, and 2 on mixed inpatient/outpatient settings.
- Coinfection frequency was analyzed using the DerSimonian-Laird method in R’s metafor package; heterogeneity was quantified with I², and meta-regression, leave-one-out analysis, and Cook’s distances were used to explore heterogeneity.
Limitations
- The paper states that the sample of 27 studies and >3000 patients is small relative to annual influenza-related hospitalizations; studies included only hospitalized patients with moderate to severe influenza, so outpatients and asymptomatic patients are not represented.
- The paper states that bacterial detection methods varied in sensitivity and sampling site, potentially underdiagnosing difficult-to-detect bacteria; antibiotic use before or at enrollment was not systematically assessed and may have led to underestimation.
- The paper states that significant heterogeneity could not be explained by measured study characteristics; evident from the text, all included studies were observational and most were small cohort studies, with selection bias and data-collection reliability concerns noted in the quality assessment.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A total of 27 articles encompassing 3215 patients met all the inclusion criteria and were included in the final analysis.28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study screening and selection
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“All 27 included studies were observational, of which 13 (1218 patients) were prospective studies,30, 32, 33, 36, 40, 41, 43, 44, 48, 49, 50, 51, 52 and 14 (1997 patients) were retrospective analyses (Table 1).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Using Cook's distances to identify studies that most greatly affected the heterogeneity and results, we found that seven studies contributed more than 50% of the heterogeneity.29, 31, 34, 39, 40, 45, 46”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“While studies were generally representative of the targeted population, most studies did not report the percentage of patients that agreed to participate.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Assessment of bias
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Among the individual studies, the proportion of bacterial coinfection ranged from 2% (newborns born in USA) to 65% (immunocompetent adults in France) (Figure 3).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Egger's test of asymmetry was also significant for bias (P = 0·0004).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Assessment of bias
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The median sample size was 51 (IQR, 18·5–101), and the mean was 119 (SD: 203), which was driven by three large studies29, 44, 53 that contributed 1958 (61%) of the total number of patients included in this analysis.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Of those 27, only eight studies, with 334 patients, provided the numbers or percentages of each bacterial coinfecting pathogen.28, 32, 33, 34, 38, 43, 46, 47”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study screening and selection
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Severity of illness varied among studies, but all were focused on hospitalized patients, suggesting a greater than average severity.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“High statistical heterogeneity of the included studies (I 2 = 95%) removed confidence in reporting an estimate of the pooled mean proportion of bacterial coinfection through meta‐analysis.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We found 27 studies covering 3215 patients.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Streptococcus pneumoniae and Staphylococccus aureus were the most common pathogens accounting for 35% (95% CI, 14%–56%) and 28% (95% CI, 16%–40%) of identified coinfecting bacteria, respectively (Figure 4).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Species‐level analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A multivariate analysis also found no significant correlation between any of the variables and overall rates of coinfection.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The most common coinfecting species were Streptococcus pneumoniae and Staphylococcus aureus, which accounted for 35% (95% CI, 14%–56%) and 28% (95% CI, 16%–40%) of infections, respectively; a wide range of other pathogens caused the remaining infections.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Abstract > Results
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Severity of illness however was not a factor that could be standardized among the studies.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The largest study contributed greatly to the heterogeneity of the results; however, study size did not significantly contribute to the heterogeneity in the results (P = 0·06 with the largest study, while P = 0·41 excluding this study).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The results from these studies were highly variable, ranging from 2% to 65%.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Strength:plain· not yet calibratedn = 3,215Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The most common coinfecting species were Streptococcus pneumoniae and Staphylococcus aureus, which accounted for 35% (95% CI, 14%–56%) and 28% (95% CI, 16%–40%) of infections, respectively; a wide range of other pathogens caused the remaining infections.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Abstract > Results
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Streptococcus pneumoniae and Staphylococccus aureus were the most common pathogens accounting for 35% (95% CI, 14%–56%) and 28% (95% CI, 16%–40%) of identified coinfecting bacteria, respectively (Figure 4).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Species‐level analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although the majority of studies ranged between 11% and 35%, no specific characteristics of the studies were associated with variability in coinfection frequency.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Strength:plain· not yet calibratedn = 3,215Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Streptococcus pneumoniae and Staphylococccus aureus were the most common pathogens accounting for 35% (95% CI, 14%–56%) and 28% (95% CI, 16%–40%) of identified coinfecting bacteria, respectively (Figure 4).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Species‐level analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The most common coinfecting species were Streptococcus pneumoniae and Staphylococcus aureus, which accounted for 35% (95% CI, 14%–56%) and 28% (95% CI, 16%–40%) of infections, respectively; a wide range of other pathogens caused the remaining infections.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Abstract > Results
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Subanalyses and meta‐regression of age, setting, year of enrollment, study type, study size, and bacterial collection method were unable to determine the main sources of heterogeneity.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“No significant trend was seen when stratifying the studies by mean or median age (Figure S1).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The proportion of bacterial coinfection among the remaining 20 studies, representing 64% of all patients, was between 11% and 35% (I 2 = 37%).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Only four studies explicitly measured and reported on comorbidities of patients with coinfection and found that older age,28, 44, 53 a higher APACHE II (Acute Physiology and Chronic Health Evaluation II) score,44, 53 diabetes,33 and sepsis33 were risk factors for coinfection.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The most common coinfecting species were Streptococcus pneumoniae and Staphylococcus aureus, which accounted for 35% (95% CI, 14%–56%) and 28% (95% CI, 16%–40%) of infections, respectively; a wide range of other pathogens caused the remaining infections.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Abstract > Results
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although the majority of studies ranged between 11% and 35%, no specific characteristics of the studies were associated with variability in coinfection frequency.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A number of other pathogens were also identified as causing coinfections: Pseudomonas aeruginosa, Streptococcus pyogenes, Haemophilus influenzae, Klebsiella pneumoniae, and Mycoplasma pneumoniae.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Species‐level analysis
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“However, although there have been significant increases in the incidence of MRSA infections in the last decade, particularly community‐associated MRSA (CA‐MRSA),64 there was not enough data to draw any inferences regarding temporal changes in the etiology of coinfecting pathogens.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [64] Klein EY, Sun L, Smith DL, Laximarayan R. The changing epidemiology of methicillin‐resistant Staphylococcus aureus in the United States: A national observational study. Am J Epidemiol 2013; 177: 666– 674. 23449778 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Consistent with the prior literature,55, 62 we found that S. pneumoniae was the most frequent bacterial coinfection; however, both S. aureus and other bacterial coinfections were also quite common.”
- Also stated in: § Conclusion · plain
“The predominant coinfecting organism in the studies was S. pneumoniae followed by S. aureus, but many other organisms were also found to cause infections.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [55] Brundage JF. Interactions between influenza and bacterial respiratory pathogens: implications for pandemic preparedness. Lancet Infect Dis 2006; 6: 303– 312. 16631551 PMC7106411 source
- Not checked yetcites [62] McCullers JA. The co‐pathogenesis of influenza viruses with bacteria in the lung. Nat Rev Micro 2014; 12: 252– 262. 24590244 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Conclusion · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It was not accounted for by differences in patient age, year, study enrollment setting, study design, study size, or method of bacterial sample collection or detection.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Given that over 25% of identified isolates were S. aureus, and that approximately 50% of hospital S. aureus isolates are MRSA,64 our study supports IDSA recommendations for empiric coverage of CA‐MRSA in influenza‐related pneumonia patients.63”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Finally, we were unable to explain the significant heterogeneity among studies.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“An additional six studies reported on participant antibiotic use at the time of enrollment and found that 12–50% of patients had preceding antibiotic treatment which may have led to an underestimation of the true frequency of bacterial coinfection in their sample population.30, 33, 40, 45, 47, 52”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
What the sources say
- Not checked yetcites [30] Bjarnason A, Thorleifsdottir G, Love A et al Severity of influenza A 2009 (H1N1) pneumonia is underestimated by routine prediction rules. Results from a prospective, population‐based study. PLoS ONE 2012; 7: e46816. 23071646 PMC3469650 source
- Not checked yetcites [33] Cordero E, Perez‐Romero P, Moreno A et al Pandemic influenza A(H1N1) virus infection in solid organ transplant recipients: impact of viral and non‐viral co‐infection. Clin Microbiol Infect 2012; 18: 67– 73. 21790857 PMC7129435 source
- Not checked yetcites [40] Johansson N, Kalin M, Annika TL, Giske CG, Hedlund J. Etiology of Community‐Acquired pneumonia: increased microbiological yield with new diagnostic methods. Clin Infect Dis 2010; 50: 202– 209. 20014950 PMC7107844 source
Strength:plain· not yet calibratedn = 6Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Coinfecting bacterial pathogens are a major cause of that morbidity and mortality and are associated with both pandemic and seasonal influenza virus illness.2”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Introduction
What the sources say
- Not checked yetcites [2] Metersky ML, Masterton RG, Lode H, File TM Jr, Babinchak T. Epidemiology, microbiology, and treatment considerations for bacterial pneumonia complicating influenza. Int J Infect Dis 2012; 16: e321– e331. 22387143 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Coinfecting bacterial pathogens are a major cause of that morbidity and mortality and are associated with both pandemic and seasonal influenza virus illness.2”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Introduction
What the sources say
- Not checked yetcites [2] Metersky ML, Masterton RG, Lode H, File TM Jr, Babinchak T. Epidemiology, microbiology, and treatment considerations for bacterial pneumonia complicating influenza. Int J Infect Dis 2012; 16: e321– e331. 22387143 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“While prior studies have examined the frequency of select bacterial species in influenza cases,13, 14 particularly the presence of methicillin‐resistant S. aureus (MRSA),15, 16, 17, 18 the frequency of overall coinfection in influenza patients is still poorly characterized.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Introduction
What the sources say
- Not checked yetcites [13] Chertow DS, Memoli MJ. Bacterial coinfection in influenza: a grand rounds review. JAMA 2013; 309: 275– 282. 23321766 source
- Not checked yetcites [14] Wang X‐Y, Kilgore PE, Lim KA et al Influenza and bacterial pathogen coinfections in the 20th century. Interdiscip Perspect Infect Dis 2011; 2011: 146376. 21747847 PMC3124839 source
- Not checked yetcites [15] Centers for Disease Control Prevention. Severe methicillin‐resistant Staphylococcus aureus community‐acquired pneumonia associated with influenza–Louisiana and Georgia, December 2006‐January 2007. MMWR Morb Mortal Wkly Rep 2007; 56: 325– 329. 17431376
- Not checked yetcites [16] Centers for Disease Control Prevention. Severe coinfection with seasonal influenza A (H3N2) virus and Staphylococcus aureus–Maryland, February‐March 2012. MMWR Morb Mortal Wkly Rep 2012; 61: 289– 291. 22534762
- Not checked yetcites [17] Randolph AG, Vaughn F, Sullivan R et al Critically ill children during the 2009–2010 influenza pandemic in the United States. Pediatrics 2011; 128: e1450– e1458. 22065262 PMC3387899 source
- Not checked yetcites [18] Reed C, Kallen AJ, Patton M et al Infection with community‐onset Staphylococcus aureus and influenza virus in hospitalized children. Pediatr Infect Dis J 2009; 28: 572– 576. 19478685 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“High statistical heterogeneity of the included studies (I 2 = 95%) removed confidence in reporting an estimate of the pooled mean proportion of bacterial coinfection through meta‐analysis.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Severity of illness varied among studies, but all were focused on hospitalized patients, suggesting a greater than average severity.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This lack of detail did not allow us to eliminate the possibility of selection bias in the study cohorts.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Assessment of bias
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“Despite the long historical understanding of the risk posed by bacterial coinfections in influenza patients,2 the extent of coinfection has not been systematically examined.55”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [55] Brundage JF. Interactions between influenza and bacterial respiratory pathogens: implications for pandemic preparedness. Lancet Infect Dis 2006; 6: 303– 312. 16631551 PMC7106411 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“This diagnostic uncertainty has contributed to a widely recognized overuse of antibiotics in patients with viral illness.56, 57”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [56] Gonzales R, Bartlett JG, Besser RE et al Principles of appropriate antibiotic use for treatment of acute respiratory tract infections in adults: background, specific aims, and methods. Ann Emerg Med 2001; 37: 690– 697. 11385342 source
- Not checked yetcites [57] Metlay JP, Camargo CA, MacKenzie T et al Cluster‐randomized trial to improve antibiotic use for adults with acute respiratory infections treated in emergency departments. Ann Emerg Med 2007; 50: 221– 230. 17509729 source
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Rests on an assumption: Differentiating viral from bacterial infection remains a challenge for clinicians.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This meta‐analysis increases understanding of the likelihood that patients hospitalized with influenza also have a bacterial coinfection; however, the variability in results suggests that physicians should ensure that appropriate cultures are taken to minimize the overuse of antibiotics.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > What this adds to existing literature
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“An assessment of bias suggested that lack of small‐study publications may have biased the results.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Abstract > Results
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- The authors state this as an assumption: Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
None of the sources cited for this claim have been checked yet.
In the paper
“However, as previous observational studies have shown, patients admitted to the hospital with influenza are more likely to receive antibiotics than antiviral medications.59, 60”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [59] Dugas AF, Monteforte B, Puri A, Awad M, Hsieh Y‐H, Rothman R. ED compliance with influenza antiviral recommendations. Am J Emerg Med 2014; 32: 1550– 1552. 25445855 source
- Not checked yetcites [60] Dugas AF, Valsamakis A, Atreya MR et al Clinical diagnosis of influenza in the ED. Am J Emerg Med 2015; 33: 770– 775. 25827595 PMC4458223 source
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Some difficult‐to‐detect bacteria may, therefore, be underdiagnosed.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The study does not, therefore, represent the vast majority of influenza patients, including asymptomatic patients, who are not hospitalized.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesWhat the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Third, studies included in this analysis detected bacterial pathogens in a number of different ways, which have varying sensitivity for different organisms and potential coinfecting sites (e.g., sputum versus blood).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“First of all, although our final sample size included 27 studies and more than 3000 patients, these are relatively small numbers compared to annual estimates of up to 200 000 influenza‐related hospitalizations.65”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [65] Thompson WW, Shay DK, Weintraub E et al Influenza‐associated hospitalizations in the United States. JAMA 2004; 292: 1333– 1340. 15367555 source
Strength:plain· not yet calibratedn = 3,000Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This identifies a gap in the current literature as the frequency of bacterial coinfection in outpatients with confirmed influenza remains unknown.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Given that over 25% of identified isolates were S. aureus, and that approximately 50% of hospital S. aureus isolates are MRSA,64 our study supports IDSA recommendations for empiric coverage of CA‐MRSA in influenza‐related pneumonia patients.63”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [64] Klein EY, Sun L, Smith DL, Laximarayan R. The changing epidemiology of methicillin‐resistant Staphylococcus aureus in the United States: A national observational study. Am J Epidemiol 2013; 177: 666– 674. 23449778 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“An additional six studies reported on participant antibiotic use at the time of enrollment and found that 12–50% of patients had preceding antibiotic treatment which may have led to an underestimation of the true frequency of bacterial coinfection in their sample population.30, 33, 40, 45, 47, 52”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
What the sources say
- Not checked yetcites [30] Bjarnason A, Thorleifsdottir G, Love A et al Severity of influenza A 2009 (H1N1) pneumonia is underestimated by routine prediction rules. Results from a prospective, population‐based study. PLoS ONE 2012; 7: e46816. 23071646 PMC3469650 source
- Not checked yetcites [33] Cordero E, Perez‐Romero P, Moreno A et al Pandemic influenza A(H1N1) virus infection in solid organ transplant recipients: impact of viral and non‐viral co‐infection. Clin Microbiol Infect 2012; 18: 67– 73. 21790857 PMC7129435 source
- Not checked yetcites [40] Johansson N, Kalin M, Annika TL, Giske CG, Hedlund J. Etiology of Community‐Acquired pneumonia: increased microbiological yield with new diagnostic methods. Clin Infect Dis 2010; 50: 202– 209. 20014950 PMC7107844 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- Probably not a substantial claim. 20
- It may state two separate claims as one. 33
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The majority (21) of studies were cohort studies, and the rest were case–control studies.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The average quality of the studies was moderate, with the most common quality issues being related to study design, selection biases, and data collection (Table S2).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Assessment of bias
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most studies enrolled only adults, although the lower age cutoffs varied (e.g., some studies considered adults older than 14 while others used 21).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Only seven studies (1214 patients) focused on young children or newborns,29, 31, 38, 46, 49, 51, 54 and two studies (504 patients) included both children and adults.42, 53”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedn = 1,214Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A funnel plot appeared asymmetrical (Figure 2), suggesting statistical heterogeneity; in particular, there seems to have been a lack of smaller studies with lower rates of bacterial coinfection.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Assessment of bias
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The median sample size was 51 (IQR, 18·5–101), and the mean was 119 (SD: 203), which was driven by three large studies29, 44, 53 that contributed 1958 (61%) of the total number of patients included in this analysis.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“All 27 included studies were observational, of which 13 (1218 patients) were prospective studies,30, 32, 33, 36, 40, 41, 43, 44, 48, 49, 50, 51, 52 and 14 (1997 patients) were retrospective analyses (Table 1).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedn = 1,218Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Fifteen of the studies (1885 patients) began enrollment in 2009 or later,28, 32, 33, 34, 35, 37, 39, 41, 42, 44, 46, 48, 49, 53, 54 and of these, all but one was specifically focused on the 2009 H1N1 pandemic strain.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Study characteristics
Strength:plain· not yet calibratedn = 1,885Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, results from the bias assessment suggest that the largest potential source of bias was the fact that all the studies were observational studies, and most were small cohort studies.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Assessment of bias
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Patients enrolled in the ICU had a slightly higher frequency of coinfection than patients enrolled elsewhere, although this was also not statistically significant (P = 0·14).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, study design (P = 0·47) and bacterial coinfection collection and detection methods (each was tested independently and all P‐values were greater than 0·05) were also not significant.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, other Staphylococcal pathogens such as S. epidermidis, and Gram‐negative bacteria, such as Escherichia coli and Moraxella catarrhalis, were also frequently found.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Species‐level analysis
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although heterogeneity was greater in the pediatric studies (I 2 = 98%) than in the adult studies (I 2 = 89%), coinfection frequency was statistically the same (P = 0·47).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Only four studies explicitly measured and reported on comorbidities of patients with coinfection and found that older age,28, 44, 53 a higher APACHE II (Acute Physiology and Chronic Health Evaluation II) score,44, 53 diabetes,33 and sepsis33 were risk factors for coinfection.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Further, some studies only included severely immunocompromised patients who had concurrent malignancy or organ transplant,31, 33, 49 while others excluded immunocompromised patients.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Only three studies excluded participants based on antibiotic use and reported coinfection rates of 12·2%, 26·7%, and 46·6%.28, 34, 36”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
What the sources say
- Not checked yetcites [28] Ahn S, Kim WY, Kim SH et al Role of procalcitonin and C‐reactive protein in differentiation of mixed bacterial infection from 2009 H1N1 viral pneumonia. Influenza Other Respi Viruses 2011; 5: 398– 403. PMC5780656 21668682 source
- Not checked yetcites [34] Cuquemelle E, Soulis F, Villers D et al Can procalcitonin help identify associated bacterial infection in patients with severe influenza pneumonia? A multicentre study. Intensive Care Med 2011; 37: 796– 800. 21369807 PMC7080069 source
- Not checked yetcites [36] Falsey AR, Becker KL, Swinburne AJ et al Bacterial complications of respiratory tract viral illness: a comprehensive evaluation. J Infect Dis 2013; 208: 432– 441. 23661797 PMC3699009 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The predominant coinfecting organism in the studies was S. pneumoniae followed by S. aureus, but many other organisms were also found to cause infections.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Conclusion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Consistent with the prior literature,55, 62 we found that S. pneumoniae was the most frequent bacterial coinfection; however, both S. aureus and other bacterial coinfections were also quite common.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [55] Brundage JF. Interactions between influenza and bacterial respiratory pathogens: implications for pandemic preparedness. Lancet Infect Dis 2006; 6: 303– 312. 16631551 PMC7106411 source
- Not checked yetcites [62] McCullers JA. The co‐pathogenesis of influenza viruses with bacteria in the lung. Nat Rev Micro 2014; 12: 252– 262. 24590244 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We found that bacterial coinfection of hospitalized patients with influenza is often common, although results were highly heterogeneous.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Conclusion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Lung tissue samples from the 1918 influenza pandemic suggest that the majority of the estimated 20–60 million deaths were from bacterial infections rather than from direct effects of the virus.3”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Introduction
What the sources say
- Not checked yetcites [3] Morens DM, Taubenberger JK, Fauci AS. Predominant role of bacterial pneumonia as a cause of death in pandemic influenza: implications for pandemic influenza preparedness. J Infect Dis 2008; 198: 962– 970. 18710327 PMC2599911 source
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The potential bias of each study was assessed using the Quality Assessment Tool for Quantitative Studies developed by the National Collaborating Centre for Methods and Tools.20”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods > Assessment of bias
What the sources say
- Not checked yetcites [20] National Collaborating Centre for Methods and Tools. Quality Assessment Tool for Quantitative Studies. Vol (Updated 13 April. Hamilton. ON: McMaster University, 2010; 2008.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Sources of data were carefully reviewed by BM, AG, EK, and studies reporting already included data were excluded (the study with the earlier publication date was considered the primary study, and all others excluded).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods > Data extraction
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The full text of all studies meeting the criteria and those for which a conclusion could not be made were reviewed independently by the two authors. Disagreements were resolved through consultation with a third party.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods > Selection of studies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In seasonal epidemics, influenza bacterial coinfection is associated with increases in hospital admissions,4, 5 more severe symptoms,6 and increases in mortality.7”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Introduction
What the sources say
- Not checked yetcites [4] Masiá M, Padilla S, Antequera P, Ramos JM, Ruiz M, Gutiérrez F. Predictors of pneumococcal co‐infection for patients with pandemic (H1N1) 2009. Emerg Infect Dis 2011; 17: 1475. 21801627 PMC3381536
- Not checked yetcites [5] Blyth CC, Webb SA, Kok J et al The impact of bacterial and viral co‐infection in severe influenza. Influenza Other Respir Viruses 2013; 7: 168– 176. 22487223 PMC5006004 source
- Not checked yetcites [6] Cillóniz C, Ewig S, Menéndez R et al Bacterial co‐infection with H1N1 infection in patients admitted with community acquired pneumonia. J Infect 2012; 65: 223– 230. 22543245 PMC7132402 source
- Not checked yetcites [7] Paddock CD, Liu L, Denison AM et al Myocardial injury and bacterial pneumonia contribute to the pathogenesis of fatal influenza B virus infection. J Infect Dis 2012; 205: 895– 905. 22291193 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Two authors (BM, AG) extracted study data from all included publications independently, and results were then compared. Differences were resolved by consensus.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods > Data extraction
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Two authors (BM, AG) independently screened the title and abstract of all the search‐returned publications to determine whether they met study criteria.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods > Selection of studies
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“We conducted a systematic review, which is reported in accordance with PRISMA guidelines,19 to determine the frequency of bacterial coinfection among individuals with laboratory confirmed influenza.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods
What the sources say
- Not checked yetcites [19] Liberati A, Altman DG, Tetzlaff J et al The PRISMA statement for reporting systematic reviews and meta‐analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ 2009; 339:b2700. doi: 10.1136/bmj.b2700. PMC2714672 19622552 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Inclusion was restricted to studies of humans in which all individuals had laboratory confirmed influenza, and all individuals were tested for an array of common bacterial species.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“Identification of coinfected patients and coinfecting pathogen enables clinicians to initiate appropriate antibiotic therapy and improve patient outcomes.12”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Introduction
What the sources say
- Not checked yetcites [12] Van‐Tam J, Sellwood C. Pandemic Influenza. Boston: CABI, 2012. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Funnel plots and calculation of Egger's test of asymmetry were also used to assess biases such as publication and small‐study effects.23”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods > Assessment of bias
What the sources say
- Not checked yetcites [23] Egger M, Smith GD, Schneider M, Minder C. Bias in meta‐analysis detected by a simple, graphical test. BMJ 1997; 315: 629– 34. 9310563 PMC2127453 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Studies were also not fully clear on the reliability of the tools used for data collection, which made it difficult to eliminate this as a potential source of bias in the strains detected.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Assessment of bias
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This tool was selected for its comprehensive ability to assess the methodological quality of non‐randomized studies and has shown good reliability and validity.21, 22”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods > Assessment of bias
What the sources say
- Not checked yetcites [21] Thomas BH, Ciliska D, Dobbins M, Micucci S. A process for systematically reviewing the literature: providing the research evidence for public health nursing interventions. Worldviews Evid Based Nurs 2004; 1: 176– 184. 179p. 17163895 source
- Not checked yetcites [22] Deeks J, Dinnes J, D'Amico R, Sowden A, Sakarovitch C. Evaluating non‐randomised intervention studies. Health Technol Assess 2003; 7: 186. 14499048 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Each study was independently evaluated by two authors, and discrepancies regarding bias assessment were resolved by consensus.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Methods > Assessment of bias
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, there was some suggestion that negative findings or low levels of bacterial coinfection were not published.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Antibiotic use at the time of, or prior to enrollment, was another factor that may have contributed to significant heterogeneity, but could not be systematically assessed.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“This diverse profile of coinfecting pathogens confirms current Infectious Disease Society of America (IDSA) recommendations for broad‐spectrum antibiotic coverage for influenza‐related pneumonia.63”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [63] Harper SA, Bradley JS, Englund JA et al Seasonal influenza in adults and children—diagnosis, treatment, chemoprophylaxis, and institutional outbreak management: clinical practice guidelines of the Infectious Diseases Society of America. Clin Infect Dis 2009; 48: 1003– 1032. 19281331 PMC7107965 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“Given that over 25% of identified isolates were S. aureus, and that approximately 50% of hospital S. aureus isolates are MRSA,64 our study supports IDSA recommendations for empiric coverage of CA‐MRSA in influenza‐related pneumonia patients.63”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
What the sources say
- Not checked yetcites [63] Harper SA, Bradley JS, Englund JA et al Seasonal influenza in adults and children—diagnosis, treatment, chemoprophylaxis, and institutional outbreak management: clinical practice guidelines of the Infectious Diseases Society of America. Clin Infect Dis 2009; 48: 1003– 1032. 19281331 PMC7107965 source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our findings suggest that while patients hospitalized with moderate to severe influenza may be coinfected with both viral and bacterial pathogens, many patients will likely not be coinfected.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This lack of statistically significant variability may be due to unrecorded differences in the studies, such as genetic differences in the populations, local differences in either the severity of viral or bacterial illness, unrecorded patient comorbidities, variation in treatment, or as noted above, antibiotic use (either current or past).”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Second, studies included only patients who were hospitalized for influenza and thus represent a population with moderate to severe influenza.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Although a few studies enrolled patients in the outpatient or ED setting, all required hospitalization.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Hence, these results may underrepresent the actual number of bacterial coinfections and the distribution of the pathogens of those coinfections.”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“One study found that previous antibiotic use made patients more likely to acquire atypical bacterial infections.50”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
What the sources say
- Not checked yetcites [50] Van Gageldonk‐Lafeber AB, Wever PC, Van DL et al The aetiology of community‐acquired pneumonia and implications for patient management. Neth J Med 2013; 71: 418– 425. 24127502
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“For example, Bjarnason and colleagues found that none of the patients using antibiotics were in the coinfected group and when they excluded antibiotic users from the study, the prevalence of coinfection increased from 14% to 45%.30”
§ The frequency of influenza and bacterial coinfection: a systematic review and meta‐analysis > Results > Bacterial coinfection
What the sources say
- Not checked yetcites [30] Bjarnason A, Thorleifsdottir G, Love A et al Severity of influenza A 2009 (H1N1) pneumonia is underestimated by routine prediction rules. Results from a prospective, population‐based study. PLoS ONE 2012; 7: e46816. 23071646 PMC3469650 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The authors state this as an assumption.
Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).
“Coinfection was assumed to be any acute bacterial infection identified in respiratory secretions, sputum, or sterile site (e.g., bacteremia).”
The paper relies on this without support.
Differentiating viral from bacterial infection remains a challenge for clinicians.
“Differentiating viral from bacterial infection remains a challenge for clinicians.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The frequency of influenza and bacterial co-infection ranged from 2% to 65%.”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Klein et al., 2016
In the citing paper
“Among them, Streptococcus pneumoniae and Staphylococcus aureus, which accounted for 35% and 28% of infections (Klein et al., 2016).”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Klein et al., 2016
In the citing paper
“The bacteria most commonly associated with influenza infection have been reported to be those which commonly colonise the nasopharynx, such as Streptococcus pneumoniae, Staphylococcus aureus, and Streptococcus pyogenes, with secondary infection usually occurring in the first 6 days of influenza.43, 44, 45”
From Co-infections in people with COVID-19: a systematic review and meta-analysis. (2020) · cites this paper as [45]
In the citing paper
“Studies have shown that up to 65% of laboratory confirmed cases of influenza infection exhibited bacterial co/secondary infection, although Klein et al. (2016) state that in the majority of the research included in their meta-analysis this figure ranged between 11 and 35%.”
From Secondary bacterial infections associated with influenza pandemics (2017) · cites this paper as Klein et al., 2016
In the citing paper
“M. catarrhalis has been highlighted as a frequent source of co-infection for influenza since the early 1980’s (Klein et al., 2016).”
From Secondary bacterial infections associated with influenza pandemics (2017) · cites this paper as Klein et al., 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Mixed-setting total includes an uncounted third study
MinorThe two cited mixed-setting studies have 833 and 160 patients, totaling 993 rather than 1100. Table 1 lists a third mixed-setting study, Carr et al. (107 patients), which brings the total to 1100.
Reported 1100 · recomputed 993
“2 enrolled patients in a mix of inpatient and outpatient settings (1100 patients).29, 52”
Citations
Cites
Measuring inconsistency in meta-analyses
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Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gotzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · BMJ · doi:10.1136/bmj.b2700 · Cited by 17,648
Mortality Associated With Influenza and Respiratory Syncytial Virus in the United States
Thompson, W. W., Shay, D. K., Weintraub, E., Brammer, L., Cox, N., Anderson, L. J., & Fukuda, K. (2003) · JAMA · doi:10.1001/jama.289.2.179 · Cited by 3,673
How should meta‐regression analyses be undertaken and interpreted?
Thompson, S. G., & Higgins, J. P. T. (2002) · Statistics in Medicine · doi:10.1002/sim.1187 · Cited by 3,026
Evaluating non-randomised intervention studies
Deeks, J., Dinnes, J., D'Amico, R., Sowden, A., Sakarovitch, C., Song, F., Petticrew, M., & Altman, D. (2003) · Health Technology Assessment · doi:10.3310/hta7270 · Cited by 2,907
Community-Acquired Pneumonia Requiring Hospitalization among U.S. Adults
Jain, S., Self, W. H., Wunderink, R. G., Fakhran, S., Balk, R., Bramley, A. M., Reed, C., Grijalva, C. G., Anderson, E. J., Courtney, D. M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500245 · Cited by 2,323
Influenza-Associated Hospitalizations in the United States
Thompson, W. W. (2004) · JAMA · doi:10.1001/jama.292.11.1333 · Cited by 2,213
Flagged first, then by citations
1 of the 66 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- National Collaborating Centre for Methods and Tools. Quality Assessment Tool for Quantitative Studies. Vol (Updated 13 April, 2010, Hamilton, 2008
- Dave BM, 2014, Clinical data of h1n1 infected patients, 2012–2013, Indian J Crit Care Med, 18, S25
- Guervilly C, 2010, High levels of procalcitonin and (greater‐than or equal to) reactive protein during H1N1 illness, Intensive Care Med, 36, S138
- Yan XX, 2011, Influenza a (H1n1) virus complicated with bacteria infection, Respirology, 16, 60
Cited by
Sorted by citations
Co-infections in people with COVID-19: a systematic review and meta-analysis.
Lansbury, L., Lim, B., Baskaran, V., & Lim, W. S. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.05.046 · Cited by 1,619
Langford, B. J., So, M., Raybardhan, S., Leung, V., Westwood, D. J., MacFadden, D. R., Soucy, J.-P. R., & Daneman, N. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2020.07.016 · Cited by 1,589
Schauwvlieghe, A. F. A. D., Rijnders, B. J. A., Philips, N., Verwijs, R., Vanderbeke, L., Van Tienen, C., Lagrou, K., Verweij, P. E., Van de Veerdonk, F. L., Gommers, D., et al. (2018) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(18)30274-1 · Cited by 886
Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis
Langford, B. J., So, M., Raybardhan, S., Leung, V., Soucy, J.-P. R., Westwood, D. J., Daneman, N., & MacFadden, D. R. (2021) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2020.12.018 · Cited by 934
Bender, R. G., Sirota, S. B., Swetschinski, L. R., Dominguez, R.-M. V., Novotney, A., Wool, E. E., Ikuta, K. S., Vongpradith, A., Rogowski, E. L. B., Doxey, M., et al. (2024) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(24)00176-2 · Cited by 596
Metadata
- Authors
- Klein, E. Y., Monteforte, B., Gupta, A., Jiang, W., May, L., Hsieh, Y., & Dugas, A.
- Affiliations
- Center for Disease Dynamics, Economics & Policy (US)
- Eastern Virginia Medical School (US)
- Allegheny General Hospital (US)
- George Washington University (US)
- Johns Hopkins University (US)
- Corresponding author
- Klein, Eili Y.
- Venue
- Influenza and Other Respiratory Viruses
- Publisher
- Wiley
- Published
- 2016-06-24
- Volume
- 10
- Issue
- 5
- Pages
- 394-403
- ISSN
- 1750-2640 (ISSN-L)
- 1750-2659
- PMC
- PMC4947938
- OpenAlex
- W2402456610
- Semantic Scholar
- 210ca1b97c01c947b269aac6fab9f37485337e22
- Cited by
- 574
- References
- 66
- Citations by year
- 2026: 29 · 2025: 46 · 2024: 51 · 2023: 96 · 2022: 104 · 2021: 112 · 2020: 58 · 2019: 20 · 2018: 24 · 2017: 15 · 2016: 5
- FWCI
- 2.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Influenza and Other Respiratory Viruses (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- U.S. Department of Health and Human Services (IDSEP130014‐01‐00)
- Topics
- Health Sciences › Medicine › Epidemiology › Influenza Virus Research Studies
- Health Sciences › Medicine › Epidemiology › Pneumonia and Respiratory Infections
- Health Sciences › Medicine › Epidemiology › Respiratory viral infections research
- Keywords
- influenza, bacterial co-infection, Streptococcus pneumoniae, Staphylococcus aureus, hospitalized influenza patients, pathogenic bacteria
- MeSH terms
- Adolescent, Adult, Child, Child, Preschool, Female, Hospitalization, Humans, Infant, Infant, Newborn, Influenza, Human, Male, Middle Aged, Pneumococcal Infections, Staphylococcal Infections, Streptococcus pneumoniae, Drug Resistance, Bacterial, Methicillin-Resistant Staphylococcus aureus, Young Adult, Coinfection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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