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Additional file 2 of Implication of asymptomatic and clinical Plasmodium falciparum infections on biomarkers of iron status among school-aged children in Malawi

Peter A. M. Ntenda, Angeziwa C. Chirambo, Owen Nkoka, Walaa M. El-Meidany & Jessy Goupeyou-Youmsi
Additional file 2. Questionnaire for the main Malawi Demographic and Health Survey.

Additional file 3 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 3: Figure S2. The birth weight z-scores comparing STOPPAM vs. Intergrowth (IG21) references. The dash line indicates the mean birthweight z-scores.

Additional file 1 of Implication of asymptomatic and clinical Plasmodium falciparum infections on biomarkers of iron status among school-aged children in Malawi

Peter A. M. Ntenda, Angeziwa C. Chirambo, Owen Nkoka, Walaa M. El-Meidany & Jessy Goupeyou-Youmsi
Additional file 1. Questionnaire for micronutrients survey module.

Implication of asymptomatic and clinical Plasmodium falciparum infections on biomarkers of iron status among school-aged children in Malawi

Peter A. M. Ntenda, Angeziwa C. Chirambo, Owen Nkoka, Walaa M. El-Meidany & Jessy Goupeyou-Youmsi
Abstract Background Iron status is considered as a continuum from an iron deficiency with anaemia, without anaemia, varying amounts of stored iron to iron overload. The burden of Plasmodium falciparum infections is typically high among school-aged children (SAC). Nonetheless, SAC are often less likely to be covered by malaria interventions, making them a group with an untreated reservoir of parasite transmission. This study aimed to assess the effects of asymptomatic and clinical malaria infections on...

Additional file 5 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 5: Figure S4. Two stage individual participant data meta-analysis on the association between malaria in pregnancy (MIP) and small for gestational age (SGA) using the STOPPAM (SGASTOPPAM) vs. the Intergrowth-21 reference (SGAIG21). uOR: unadjusted odds ratio in panels A and B, aOR: adjusted odds ratio in panels C and D controlling for body mass index, gravidity, gestational age at enrolment, HIV, and hemoglobin level at enrolment. In addition, adjusted for gestational age at...

The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Abstract Background The prevalence of small for gestational age (SGA) may vary depending on the chosen weight-for-gestational-age reference chart. An individual participant data meta-analysis was conducted to assess the implications of using a local reference (STOPPAM) instead of a universal reference (Intergrowth-21) on the association between malaria in pregnancy and SGA. Methods Individual participant data of 6,236 newborns were pooled from seven conveniently identified studies conducted in Tanzania and Malawi from 2003–2018 with data on...

Additional file 2 of Implication of asymptomatic and clinical Plasmodium falciparum infections on biomarkers of iron status among school-aged children in Malawi

Peter A. M. Ntenda, Angeziwa C. Chirambo, Owen Nkoka, Walaa M. El-Meidany & Jessy Goupeyou-Youmsi
Additional file 2. Questionnaire for the main Malawi Demographic and Health Survey.

Additional file 1 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 1: Table S1. Comparison of the Intergrowth-21 and STOPPAM standard charts. Table S2. Quality of studies using Cochrane’s Risk of Bias 2 tool (ROB-2) for randomized trials. Table S3. Risk of Bias assessment by Newcastle scale for cohort studies. Table S4. Prevalence of small for gestational age by gestational age and birthweight. Table S5. Prevalence of small for gestational age when applying the inclusion criteria for each reference chart. Table S6. Sensitivity analysis...

Additional file 4 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 4: Figure S3. Association between small for gestational age (SGA) and malaria in pregnancy excluding all HIV seropositive women. Panels A and B shows the unadjusted odds ratio (uOR) for SGA when using STOPPAM (SGASTOPPAM) and Intergrowth-21 (SGAIG21) references. Panels C and D shows the adjusted odds ratio (aOR).

Additional file 6 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 6: Figure S5. Funnel plots for meta-analysis. The closed dots indicate the observed studies, panel A indicate the trim and fill funnel plot for STOPPAM (P = 0.10) and panel B for Intergrowth-21 reference (P = 0.35). The contour enhanced funnel plot for STOPPAM (panel C) and Intergrowth-21 (panel D) show the distribution of studies in both the small and large p-values contours, hence no publication bias.

Additional file 1 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 1: Table S1. Comparison of the Intergrowth-21 and STOPPAM standard charts. Table S2. Quality of studies using Cochrane’s Risk of Bias 2 tool (ROB-2) for randomized trials. Table S3. Risk of Bias assessment by Newcastle scale for cohort studies. Table S4. Prevalence of small for gestational age by gestational age and birthweight. Table S5. Prevalence of small for gestational age when applying the inclusion criteria for each reference chart. Table S6. Sensitivity analysis...

Additional file 5 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 5: Figure S4. Two stage individual participant data meta-analysis on the association between malaria in pregnancy (MIP) and small for gestational age (SGA) using the STOPPAM (SGASTOPPAM) vs. the Intergrowth-21 reference (SGAIG21). uOR: unadjusted odds ratio in panels A and B, aOR: adjusted odds ratio in panels C and D controlling for body mass index, gravidity, gestational age at enrolment, HIV, and hemoglobin level at enrolment. In addition, adjusted for gestational age at...

Additional file 6 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 6: Figure S5. Funnel plots for meta-analysis. The closed dots indicate the observed studies, panel A indicate the trim and fill funnel plot for STOPPAM (P = 0.10) and panel B for Intergrowth-21 reference (P = 0.35). The contour enhanced funnel plot for STOPPAM (panel C) and Intergrowth-21 (panel D) show the distribution of studies in both the small and large p-values contours, hence no publication bias.

The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Abstract Background The prevalence of small for gestational age (SGA) may vary depending on the chosen weight-for-gestational-age reference chart. An individual participant data meta-analysis was conducted to assess the implications of using a local reference (STOPPAM) instead of a universal reference (Intergrowth-21) on the association between malaria in pregnancy and SGA. Methods Individual participant data of 6,236 newborns were pooled from seven conveniently identified studies conducted in Tanzania and Malawi from 2003–2018 with data on...

Additional file 1 of Implication of asymptomatic and clinical Plasmodium falciparum infections on biomarkers of iron status among school-aged children in Malawi

Peter A. M. Ntenda, Angeziwa C. Chirambo, Owen Nkoka, Walaa M. El-Meidany & Jessy Goupeyou-Youmsi
Additional file 1. Questionnaire for micronutrients survey module.

Additional file 1 of Inequalities in the impact of COVID-19-associated disruptions on tuberculosis diagnosis by age and sex in 45 high TB burden countries

C. Finn McQuaid, Marc Y. R. Henrion, Rachael M. Burke, Peter MacPherson, Rebecca Nzawa-Soko & Katherine C. Horton
Additional file 1: Model code and additional tables and Figs. Table S1. Country-specific tuberculosis notifications for 2013-2020 by age and sex. Table S2. Country-specific linear models for expected notifications. Fig. S1. Country-specific linear models for expected notifications. Table S3. Country-specific numbers of missed or delayed diagnoses. Table S4. Country-specific risk-ratios for disruption to tuberculosis notifications due to the pandemic for men compared to women (both aged ≥ 15 years). Table S5. Country-specific risk-ratios for disruption...

Additional file 2 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 2: Figure S1. Birth weight percentiles by sex and gestational age for STOPPAM vs. Intergrowth (IG21) references. The percentiles before and after 33 weeks for Intergrowth were merged, hence the bend in the 10th percentile.

Additional file 2 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 2: Figure S1. Birth weight percentiles by sex and gestational age for STOPPAM vs. Intergrowth (IG21) references. The percentiles before and after 33 weeks for Intergrowth were merged, hence the bend in the 10th percentile.

Additional file 3 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 3: Figure S2. The birth weight z-scores comparing STOPPAM vs. Intergrowth (IG21) references. The dash line indicates the mean birthweight z-scores.

Additional file 4 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart

George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 4: Figure S3. Association between small for gestational age (SGA) and malaria in pregnancy excluding all HIV seropositive women. Panels A and B shows the unadjusted odds ratio (uOR) for SGA when using STOPPAM (SGASTOPPAM) and Intergrowth-21 (SGAIG21) references. Panels C and D shows the adjusted odds ratio (aOR).

Implication of asymptomatic and clinical Plasmodium falciparum infections on biomarkers of iron status among school-aged children in Malawi

Peter A. M. Ntenda, Angeziwa C. Chirambo, Owen Nkoka, Walaa M. El-Meidany & Jessy Goupeyou-Youmsi
Abstract Background Iron status is considered as a continuum from an iron deficiency with anaemia, without anaemia, varying amounts of stored iron to iron overload. The burden of Plasmodium falciparum infections is typically high among school-aged children (SAC). Nonetheless, SAC are often less likely to be covered by malaria interventions, making them a group with an untreated reservoir of parasite transmission. This study aimed to assess the effects of asymptomatic and clinical malaria infections on...

Inequalities in the impact of COVID-19-associated disruptions on tuberculosis diagnosis by age and sex in 45 high TB burden countries

C. Finn McQuaid, Marc Y. R. Henrion, Rachael M. Burke, Peter MacPherson, Rebecca Nzawa-Soko & Katherine C. Horton
Abstract Background Tuberculosis remains a major public health priority and is the second leading cause of mortality from infectious disease worldwide. TB case detection rates are unacceptably low for men, the elderly and children. Disruptions in TB services due to the COVID-19 pandemic may have exacerbated these and other inequalities. Methods We modelled trends in age- and sex- disaggregated case notifications for all forms of new and relapse TB reported to the World Health Organization...

Inequalities in the impact of COVID-19-associated disruptions on tuberculosis diagnosis by age and sex in 45 high TB burden countries

C. Finn McQuaid, Marc Y. R. Henrion, Rachael M. Burke, Peter MacPherson, Rebecca Nzawa-Soko & Katherine C. Horton
Abstract Background Tuberculosis remains a major public health priority and is the second leading cause of mortality from infectious disease worldwide. TB case detection rates are unacceptably low for men, the elderly and children. Disruptions in TB services due to the COVID-19 pandemic may have exacerbated these and other inequalities. Methods We modelled trends in age- and sex- disaggregated case notifications for all forms of new and relapse TB reported to the World Health Organization...

Additional file 1 of Inequalities in the impact of COVID-19-associated disruptions on tuberculosis diagnosis by age and sex in 45 high TB burden countries

C. Finn McQuaid, Marc Y. R. Henrion, Rachael M. Burke, Peter MacPherson, Rebecca Nzawa-Soko & Katherine C. Horton
Additional file 1: Model code and additional tables and Figs. Table S1. Country-specific tuberculosis notifications for 2013-2020 by age and sex. Table S2. Country-specific linear models for expected notifications. Fig. S1. Country-specific linear models for expected notifications. Table S3. Country-specific numbers of missed or delayed diagnoses. Table S4. Country-specific risk-ratios for disruption to tuberculosis notifications due to the pandemic for men compared to women (both aged ≥ 15 years). Table S5. Country-specific risk-ratios for disruption...

Registration Year

  • 2022
    24

Resource Types

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  • Collection
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  • Text
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Affiliations

  • Malawi-Liverpool-Wellcome Trust Clinical Research Programme
    24
  • University of Malawi
    20
  • London School of Hygiene & Tropical Medicine
    18
  • Liverpool School of Tropical Medicine
    18
  • Malawi University of Science and Technology
    14
  • Tampere University Hospital
    14
  • Tampere University
    14
  • University of Copenhagen
    14
  • Rigshospitalet
    14
  • University of the Witwatersrand
    14