Evidence map›Paper›PMID 29744049›Full record

ReviewAnnals of medicine and surgery (2012)2018

Role of biobanks in transplantation.

Z Hanif, N Sufiyan, M Patel, M Z Akhtar

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. KiT-GENIE, the French genetic biobank of kidney transplantation.European journal of human genetics : EJHG · 2023
    Article
  2. Review
  3. Barriers and Advances in Kidney Preservation.BioMed research international · 2018
    Review
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.

Z HanifRoyal Berkshire Hospital, Reading, RG1, UK.
N SufiyanRoyal Berkshire Hospital, Reading, RG1, UK.
M PatelRoyal Berkshire Hospital, Reading, RG1, UK.
M Z AkhtarRoyal Berkshire Hospital, Reading, RG1, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The establishment of bio-banks together with high throughput technologies, such as genomics, transcriptomics and proteomics has opened new frontiers in biomarker discovery and the development of systems biology approaches to identifying key pathways that could be exploited to improve outcomes of solid organ transplantation. One of the major challenges in organ donation has been the lack of access to large scale well characterised material to facilitate projects that aim to characterise injury to donor organs and identify biomarkers. This may have hampered research in the field of organ donation by not allowing researchers to materials of high quality and lower pre-analytical variability. We describe in this manuscript the need for bio-banks in organ donation, research opportunities and the particular challenges in establishing such an initiative.

Indexed as

BiobankingHeartKidneyLiverMetabolomicsOrgan donorPersonalised medicineProteomicsSystems biologyTranscriptomics

Identifiers

PMID29744049
PMCPMC5938524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.