Epidemiology

Determining fragility and robustness to missing data in binary outcome meta-analyses, illustrated with conflicting associations between vitamin D and cancer mortality

1. David Robert Grimes

• Curated by eLife

  eLife Assessment

  This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is convincing, supported primarily by an example of the fragility of meta-analyses in the association between Vitamin D supplementation and cancer mortality, but the approach could be applied in other meta-analytic contexts. The significance of the work could be enhanced with a more thorough assessment of the impact of between-study heterogeneity, additional case studies, and improved contextualization of the proposed approach in relation to other methods.

Reviewed by eLife

The effect of physical activity on brain structure and cognitive function in the population-based cohort of LIFE-Adult-Study

1. Polona Kalc
2. Rober Dahnke
3. Christian Sander
4. Frauke Beyer
5. Andrea Zülke
6. Steffi G Riedel-Heller
7. Veronica Witte
8. Christian Gaser

• Curated by eLife

  eLife Assessment

  This study presents a valuable examination of two measurements of physical activity (self-report and objective) in relation to widely studied structural MRI measures of the brain (hippocampal volume and BrainAGE) and cognitive function (Trail Making Test). Cross-sectional and longitudinal data were analyzed using established and validated methodology. The results convincingly suggest that brain health is more likely a cause of physical activity than an outcome of it, although limitations to the data could mask evidence of benefits to brain health. This work will be of interest to neurologists and epidemiologists studying the etiology of cognitive decline, to clinicians interested in advising patients on strategies for preserving brain health in aging, and to members of the lay public.

Reviewed by eLife

Insights into household transmission of SARS-CoV-2 from a population-based serological survey

1. Qifang Bi
2. Justin Lessler
3. Isabella Eckerle
4. Stephen A. Lauer
5. Laurent Kaiser
6. Nicolas Vuilleumier
7. Derek A. T. Cummings
8. Antoine Flahault
9. Dusan Petrovic
10. Idris Guessous
11. Silvia Stringhini
12. Andrew S. Azman
13. SEROCoV-POP Study Group
14. Silvia Stringhini
15. Idris Guessous
16. Hélène Baysson
17. Prune Collombet
18. David De Ridder
19. Paola d’Ippolito
20. Matilde D’asaro-Aglieri Rinella
21. Yaron Dibner
22. Nacira El Merjani
23. Natalie Francioli
24. Marion Frangville
25. Kailing Marcus
26. Chantal Martinez
27. Natacha Noel
28. Francesco Pennacchio
29. Javier Perez-Saez
30. Dusan Petrovic
31. Attilio Picazio
32. Alborz Pishkenari
33. Giovanni Piumatti
34. Jane Portier
35. Caroline Pugin
36. Barinjaka Rakotomiaramanana
37. Aude Richard
38. Lilas Salzmann-Bellard
39. Stephanie Schrempft
40. Maria-Eugenia Zaballa
41. Zoé Waldmann
42. Ania Wisniak
43. Alioucha Davidovic
44. Joséphine Duc
45. Julie Guérin
46. Fanny Lombard
47. Manon Will
48. Antoine Flahault
49. Isabelle Arm Vernez
50. Olivia Keiser
51. Loan Mattera
52. Magdalena Schellongova
53. Laurent Kaiser
54. Isabella Eckerle
55. Pierre Lescuyer
56. Benjamin Meyer
57. Géraldine Poulain
58. Nicolas Vuilleumier
59. Sabine Yerly
60. François Chappuis
61. Sylvie Welker
62. Delphine Courvoisier
63. Laurent Gétaz
64. Mayssam Nehme
65. Febronio Pardo
66. Guillemette Violot
67. Samia Hurst
68. Philippe Matute
69. Jean-Michel Maugey
70. Didier Pittet
71. Arnaud G. L’Huillier
72. Klara M. Posfay-Barbe
73. Jean-François Pradeau
74. Michel Tacchino
75. Didier Trono

Reviewed by Rapid Reviews Infectious Diseases, ScreenIT, NCRC

Quantifying the impact of quarantine duration on COVID-19 transmission

1. Peter Ashcroft
2. Sonja Lehtinen
3. Daniel C Angst
4. Nicola Low
5. Sebastian Bonhoeffer

Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

COVID-19 Vaccination Timing, Relative to Acute COVID-19, and Subsequent Risk of Long COVID

1. Zachary Butzin-Dozier
2. Yunwen Ji
3. Lin-Chiun Wang
4. A. Jerrod Anzalone
5. Jeremy Coyle
6. Rachael V. Phillips
7. Rena C. Patel
8. Jing Sun
9. Eric Hurwitz
10. Sarang Deshpande
11. Junming (Seraphina) Shi
12. Andrew Mertens
13. Mark J. van der Laan
14. John M. Colford
15. Alan E. Hubbard

Reviewed by Rapid Reviews Infectious Diseases

The incubation periods of Monkeypox virus clade Ib

1. Javier Perez-Saez
2. Patrick Musole Bugeme
3. Megan O’Driscoll
4. Patrick Kazuba Bugale
5. Trust Faraja Mukika
6. Levi Bugwaja
7. Salomon Mashupe Shangula
8. Justin Bengehya
9. Stephanie Ngai
10. Antonio Isidro Carrion Martin
11. Jules Jackson
12. Noella Mulopo-Mukanya
13. Jackie Knee
14. Isabella Eckerle
15. Elizabeth C. Lee
16. Daniel Mukadi-Bamuleka
17. Justin Lessler
18. Andrew S Azman
19. Espoir Bwenge Malembaka

Reviewed by Rapid Reviews Infectious Diseases, PREreview

Adult hospitalizations due to hepatitis A virus infection in six tertiary hospitals across Bangladesh: December 2014 – September 2017

1. Banda AA Khalifa
2. Repon C Paul
3. Arifa Nazneen
4. Kajal C Banik
5. Shariful Amin Sumon
6. Kishor K Paul
7. Arifa Akram
8. M Salim Uzzaman
9. Stephen P Luby
10. Emily S Gurley

Reviewed by Rapid Reviews Infectious Diseases

Human genetic variation associates with infection by derived Ugandan M. tuberculosis lineage

1. Catherine M. Stein
2. Penelope Benchek
3. Lentlamatse Mantshoyane
4. Timothy Ciesielski
5. Michael L. McHenry
6. Himiede Wilson-Sesay
7. Moses Joloba
8. Eddie Wampande
9. Kimberly A. Dill Mc-Farland
10. Allison W. Roberts
11. Ben Polacco
12. Max Bennett
13. Nevan Krogan
14. W. Henry Boom
15. Jeffery S. Cox
16. Harriet Mayanja-Kizza
17. Thomas R. Hawn
18. Scott M. Williams

Reviewed by Rapid Reviews Infectious Diseases

Infectious disease modeling for public health practice: projections, scenarios, and uncertainty in three phases of outbreak response

1. Andrew F. Brouwer
2. Marisa C. Eisenberg
3. Natalie E. Dean
4. Harry Hochheiser
5. Philip Huang
6. Joseph R. Coyle
7. Lior Rennert

Reviewed by PREreview

Heterogeneous associations of polygenic indices of 35 traits with mortality: a register-linked population-based follow-up study

1. Hannu Lahtinen
2. Jaakko Kaprio
3. Andrea Ganna
4. Kaarina Korhonen
5. Stefano Lombardi
6. Karri Silventoinen
7. Pekka Martikainen

• Curated by eLife

  eLife Assessment

  This important study reports convincing evidence of associations between 35 polygenic indices (PGIs) for social, behavioural, and psychological traits, as well as other health conditions (e.g., BMI) and all-cause mortality, based on data from Finnish population-based surveys and a twin cohort linked to administrative registers. PGIs for education, depression, alcohol use, smoking, BMI, and self-rated health showed the strongest associations with all-cause mortality, in the order of ~10% increment in risk per PGI standard deviation. Effect sizes from twin-difference analyses tended to be slightly larger than those from population cohorts, a pattern opposite that generally observed when testing PGI associations with their target phenotypes, and supporting the robustness of findings to confounding by population stratification.

Reviewed by eLife