Evidence map›Paper›PMID 24124388›Full record

ReviewInternational journal of nephrology and renovascular disease2013

Biomarkers for renal transplantation: where are we?

Fangmin Ge, Qiaoding Dai, Weihua Gong

Open access · goldAbstract readReview
In one paragraph

Review in International journal of nephrology and renovascular disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Fangmin GeHospital Administration Office, People's Republic of China ; Department of Medicine, Second Affiliated Hospital Zhejiang University School of Medicine, People's Republic of China ; Health Bureau of Shangcheng District Hangzhou, People's Republic of China.
Qiaoding Dai
Weihua Gong
National Institute of Hospital Administration · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although surgical techniques, post-transplant care medicine, and immunosuppressants have been greatly improved, permanent acceptance of renal allograft remains a clinical challenge owing to the appearance of various influencing factors. To predict graft dysfunction, development of noninvasive biomarkers is becoming a highlighted research topic in the field of renal transplantation, which provides a possibility for physicians to give preemptive rescue treatment. From the viewpoint of diagnostic techniques, repetitive sampling is prerequisite to identify applicable biomarkers in the clinic. Early biomarkers can be used to dynamically monitor renal graft status and accurately predict transplant outcome independent of various confounders. This review highlights recent studies on the predictive value of biomarkers and methods to quantify biomarkers for monitoring kidney transplant. It is important to analyze and compare different biomarkers for living, and nonliving donors. Analysis of identified clinically relevant biomarkers will advance our understanding of distinct molecular and cellular mechanisms of transplantation and provide insight into developing novel potential approaches to induce transplant tolerance.

Indexed as

biomarkersdiagnostic techniquespreemptive treatmentrenal transplantationreversible

Identifiers

PMID24124388
PMCPMC3794846
OpenAlexW1984573385

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.