Evidence map›Paper›PMID 37631957›Full record

ReviewVaccines2023

Population-Level Risk Factors Related to Measles Case Fatality: A Conceptual Framework Based on Expert Consultation and Literature Review.

Alyssa N Sbarra, Mark Jit, Jonathan F Mosser, Matthew Ferrari, Felicity Cutts, Mark Papania, Katrina Kretsinger, Kevin A McCarthy, Niket Thakkar, Katy A M Gaythorpe and 5 more

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

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

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

2 · The registry

The trial behind it

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

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

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
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

15 authors at 9 institutions in 4 countries.

Alyssa N SbarraDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Mark JitDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Jonathan F MosserInstitute of Health Metrics and Evaluation, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-9093-3186
Matthew FerrariDepartment of Biology, Pennsylvania State University, State College, PA 16801, USA.
Felicity CuttsDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Mark PapaniaGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Katrina KretsingerGlobal Immunization Division, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Kevin A McCarthyInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA 98109, USA.
Niket ThakkarInstitute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA 98109, USA.ORCID 0000-0001-5260-3928
Katy A M GaythorpeMRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London SW7 2BX, UK.
Deepa GamageEpidemiology Unit, Ministry of Health, Colombo 01000, Sri Lanka.
L Kendall KrauseGlobal Development Division, Bill & Melinda Gates Foundation, Seattle, WA 98109, USA.
Emily DansereauGlobal Development Division, Bill & Melinda Gates Foundation, Seattle, WA 98109, USA.
Natasha CrowcroftDepartment of Immunization, Vaccines and Biologicals, World Health Organization, 1202 Geneva, Switzerland.ORCID 0000-0002-6761-8783
Allison PortnoyDepartment of Global Health, Boston University School of Public Health, Boston, MA 02118, USA.ORCID 0000-0002-8467-1324
Gates Foundation · USCenters for Disease Control and Prevention · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Washington · USBoston University · USImperial College London · GBMinistry of Health, Nutrition and Indigenous Medicine · LKPennsylvania State University · USWorld Health Organization · CH

Funding

Development and application of subnational measles incidence and mortality estimates in high burden and incidence settingsF31AI167535 · NIAID · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI SBARRA, ALYSSA NICOLE · 2022 to 2023
$72k
Gates Foundation INV-019383NIAID NIH HHS F31 AI167535World Health Organization 001
6 · The paper itself

Abstract

A better understanding of population-level factors related to measles case fatality is needed to estimate measles mortality burden and impact of interventions such as vaccination. This study aimed to develop a conceptual framework of mechanisms associated with measles case fatality ratios (CFRs) and assess the scope of evidence available for related indicators. Using expert consultation, we developed a conceptual framework of mechanisms associated with measles CFR and identified population-level indicators potentially associated with each mechanism. We conducted a literature review by searching PubMed on 31 October 2021 to determine the scope of evidence for the expert-identified indicators. Studies were included if they contained evidence of an association between an indicator and CFR and were excluded if they were from non-human studies or reported non-original data. Included studies were assessed for study quality. Expert consultation identified five mechanisms in a conceptual framework of factors related to measles CFR. We identified 3772 studies for review and found 49 studies showing at least one significant association with CFR for 15 indicators (average household size, educational attainment, first- and second-dose coverage of measles-containing vaccine, human immunodeficiency virus prevalence, level of health care available, stunting prevalence, surrounding conflict, travel time to major city or settlement, travel time to nearest health care facility, under-five mortality rate, underweight prevalence, vitamin A deficiency prevalence, vitamin A treatment, and general malnutrition) and only non-significant associations for five indicators (antibiotic use for measles-related pneumonia, malaria prevalence, percent living in urban settings, pneumococcal conjugate vaccination coverage, vitamin A supplementation). Our study used expert consultation and a literature review to provide additional insights and a summary of the available evidence of these underlying mechanisms and indicators that could inform future measles CFR estimations.

Indexed as

case fatality ratemeaslesrisk factors

Identifiers

PMID37631957
PMCPMC10458804
OpenAlexW4386032286

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.