Evidence map›Paper›PMID 41870145›Full record

ReviewXenotransplantation

Xenotransplantation and Human Organ Trafficking: The Impact of Increased Organ Availability.

Daniel J Hurst, Luz A Padilla, Emanuele Cozzi, Jay Fishman

Abstract readReview
In one paragraph

Review in Xenotransplantation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Daniel J HurstDepartment of Medical Education and Scholarship, Rowan-Virtua School of Osteopathic Medicine, Stratford, New Jersey, USA.ORCID https://orcid.org/0000-0003-0592-2592
Luz A PadillaDepartment of Epidemiology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-4032-044X
Emanuele CozziDepartment of Cardiac, Thoracic, and Vascular Sciences, Padua University Hospital, Padova, Italy.ORCID https://orcid.org/0000-0001-7855-5055
Jay FishmanTransplant Infectious Diseases and Transplant Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global shortage of organs for allotransplantation contributes to illicit trade in human organs. While clinical xenotransplantation is proposed as a potential solution to this global shortage, diverse factors contribute to human organ trafficking including global shortages, underdeveloped and under supported organ procurement infrastructures and related legislation, inadequate access to advanced medical therapies or insurance coverage, and poverty and corruption allowing exploitation of vulnerable populations. This article assesses competing predictions regarding the relationship between the advent of xenotransplantation and the global black market for organs. Some argue that a plentiful supply of xenografts will reduce or eliminate the demand that drives organ trafficking. This analysis highlights significant countervailing risks regarding (i) cost, availability, and equitable access; (ii) perceived quality / desirability of an allograft versus a xenograft; and (iii) the emergence of new illicit markets. We conclude that the effect of xenotransplantation on organ trafficking is presently unpredictable but an important metric for success in this field.

Indexed as

HeterograftsOrgan TraffickingTissue and Organ ProcurementTransplantation, HeterologousAnimalsHumansclinical trialsethicsorgan traffickingregulatory legislationtransplantationxenotransplantation

Identifiers

PMID41870145
PMCPMC13007486

What OpenQuestion holds

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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.