ArticleEJHaem2021
Driving distances and loss to follow-up after hematopoietic cell transplantation.
Article in EJHaem, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Assessing Social Determinants of Health in Transplantation and CAR-T Recipients: Expert Panel Recommendations from the Survivorship Special Interest Group of ASTCT.Transplantation and cellular therapy · 2025Review
- Association between neurodevelopmental outcomes and concomitant presence of NEC and IVH in extremely low birth weight infants.Journal of perinatology : official journal of the California Perinatal Association · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a recent multicenter analysis, long geographic distances predicted loss to follow-up (LTF) among allogeneic hematopoietic cell transplantation (HCT) survivors. We hypothesized that lower frequencies of patient interactions (including in-person appointments and telemedicine encounters) would predict LTF rather than long driving distances. However, in our retrospective single-center analysis of 263 HCT survivors, the only predictors of LTF were residence in the furthest driving-distance quartile and Medicaid insurance (but not annualized frequencies of patient interactions). Our findings suggest that telemedicine may not necessarily "rescue" long-distance HCT survivors from LTF. Other solutions, for example patient-specific partnerships with local providers, may be helpful.
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Registered trials
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.