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Impact of HIV on Loss to Follow-up and Survival among children with Lymphoma in Malawi Christopher Chikhosi Stanley, MSc Malawi Cancer Symposium 29-30.

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Presentation on theme: "Impact of HIV on Loss to Follow-up and Survival among children with Lymphoma in Malawi Christopher Chikhosi Stanley, MSc Malawi Cancer Symposium 29-30."— Presentation transcript:

1 Impact of HIV on Loss to Follow-up and Survival among children with Lymphoma in Malawi
Christopher Chikhosi Stanley, MSc Malawi Cancer Symposium August 2016

2 Introduction Lymphoma is the commonest pediatric cancer in Malawi.
Long-term survival greater than 90% is achievable in developed countries. Outcomes in SSA including Malawi are significantly worse.

3 Introduction Survival estimates are often based on limited follow-up with incomplete retention, thereby introducing potential for bias. ‘True survival rates’ which appropriately account (and reasons) for loss to follow-up (LTFU) remain unknown for lymphoma in SSA.

4 Objectives Within an existing pediatric lymphoma cohort at KCH, we are tracing patients LTFU to achieve the following specific aims: Aim 1: To explore reasons for LTFU among children with lymphoma, using semi structured interviews. Aim 2: To quantify bias in survival estimates resulting from LTFU. Aim 3: To asses risk factors for LTFU among the entire cohort.

5 Method Prospective cohort of patients with HL from KCH Lymphoma Study.
Enrollment and follow-up since June 2013. Diagnosis confirmed after consensus teleconference review by US and Malawian pathologists.

6 Method Follow-up after enrollment, active phone & physical tracing throughout treatment. Transport reimbursement is provided to all patients to promote retention throughout care.

7 Results so far on… 121 children enrolled June 2013-march 2016; 100 BL, 21 HL. Aim 2: Bias in survival estimates resulting from LTFU Median follow-up time among those not known to be deceased: 4.4 months [IQR ] in passive follow-up. 10.8 months [IQR ] in active follow-up.

8 Bias in survival estimates resulting from LTFU
Table 1: Kaplan-Meier overall survival estimates stratified by Diagnosis and clinical stage with a) Passive follow up; b) Active follow up at 12-months a)Passive follow up Overall BL HL n OS 95% CI 95%CI 121 69 ( ) 100 63 ( ) 21 83 ( ) Stage I/II 36 76 ( ) 23 68 ( ) 13 81 ( ) Stage III 49 78 ( ) 47 ( ) 2 Stage IV 55 ( ) 30 45 ( ) 6 ( ) b) Active follow up 44 ( ) 38 ( ) 74 ( ) 59 ( ) 51 ( ) ( ) 34 ( ) ( ) 40 ( ) 31 ( ) 67 ( )

9 Bias in survival estimates resulting from LTFU
Figure1 Kaplan-Meier overall survival with passive versus active follow-up for Overall cohort, Hodgkin, and Burkitt.

10 Next steps Finalizing paper on Bias in survival estimates resulting from LTFU. Continue with; qualitative work, semi structured interviews on reasons for LTFU. Collecting social economic indicator.

11 Thank you! Comments and questions!


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