Evidence map›Paper›PMID 35410143›Full record

ArticleBMC infectious diseases2022

Gender differences in measles incidence rates in a multi-year, pooled analysis, based on national data from seven high income countries.

Manfred S Green, Naama Schwartz, Victoria Peer

Abstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  12. The conneXion between sex and immune responses.Nature reviews. Immunology · 2024
    Review
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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

3 authors.

Manfred S GreenSchool of Public Health, University of Haifa, Abba Khoushy 199, Mount Carmel, 3498838, Haifa, Israel. manfred.s.green@gmail.com.
Naama SchwartzSchool of Public Health, University of Haifa, Abba Khoushy 199, Mount Carmel, 3498838, Haifa, Israel.
Victoria PeerSchool of Public Health, University of Haifa, Abba Khoushy 199, Mount Carmel, 3498838, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGender differences in a number of infectious diseases have been reported. The evidence for gender differences in clinical measles incidence rates has been variable and poorly documented over age groups, countries and time periods.

methodsWe obtained data on cases of measles by sex and age group over a period of 11-27 years from seven countries. Male to female incidence rate ratios (IRR) were computed for each year, by country and age group. For each age group, we used meta-analytic methods to combine the IRRs. Meta-regression was conducted to the estimate the effects of age, country, and time period on the IRR.

resultsIn the age groups < 1, 1-4, 5-9, 10-14, 15-44, and 45-64 the pooled IRRs (with 95% CI) were 1.07 (1.02-1.11), 1.10 (1.07-1.14), 1.03 (1.00-1.05), 1.05 (0.99-1.11), 1.08 (0.95-1.23), and 0.82 (0.74-0.92) respectively. The excess incidence rates (IR) from measles in males up to age 45 are remarkably consistent across countries and time-periods. In the age group 45-64, there is an excess incidence in women.

conclusionsThe consistency of the excess incidence rates in young males suggest that the sex differences are more likely due to physiological and biological differences and not behavioral factors. At older ages, differential exposure can play a part. These findings can provide further keys to the understanding of mechanisms of infection and tailoring vaccination schedules.

Indexed as

MeaslesAdolescentAdultChildDeveloped CountriesFemaleHumansIncidenceIncomeMaleMiddle AgedSex FactorsYoung AdultIncidence rate ratiosMeaslesMeta-analysisSex differences

Identifiers

PMID35410143
PMCPMC8996552

What OpenQuestion holds

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Registered trials

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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.