Evidence map›Paper›PMID 30895482›Full record

ReviewDigestive diseases and sciences2019

Liver Allocation Policies in the USA: Past, Present, and the Future.

Anjana Pillai, Thomas Couri, Michael Charlton

Abstract readReview
PubMed Publisher
In one paragraph

Review in Digestive diseases and sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

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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 1 institution in 1 country.

Anjana PillaiCenter for Liver Diseases, University of Chicago Medicine, 5841 S. Maryland Ave. |MC 7120|, Chicago, IL, 60637, USA.
Thomas CouriDepartment of Internal Medicine, University of Chicago Medicine, Chicago, IL, USA.
Michael CharltonCenter for Liver Diseases, University of Chicago Medicine, 5841 S. Maryland Ave. |MC 7120|, Chicago, IL, 60637, USA. mcharlton@medicine.bsd.uchicago.edu.
University of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the optimal allocation policy with regard to hepatocellular carcinoma has been a persistent and evolving challenge. The current criteria for LT for HCC endorsed by the United Network of Organ Sharing (UNOS) are based on the Milan Criteria: a solitary tumor < 5 cm, or maximum of three tumors ≤ 3 cm each, without vascular invasion or evidence of extrahepatic spread. Contraindications to HCC exception points include: stage 1 HCC, ruptured HCC, extrahepatic HCC, and main portal or hepatic vein HCC invasion. Based upon projected waitlist dropout rates due to tumor growth, patients with HCC are assigned MELD standardized exception points. In addition to tumor size and number, AFP levels are an important predictor of recurrence of HCC following liver transplantation. Standardized exception points for HCC patients are not awarded to patients with AFP levels > 1000 ng/mL that do not decrease to < 500 ng/mL with treatment. Appeals for MELD exception points for patients with HCC vary widely between UNOS regions, with success of nonstandardized exception point appeals varying from 3.1 to 21% between regions. In an effort to make prioritization for HCC more consistent, a national liver review board (NLRB)is being convened that will focus on developing a national guidance for assessing common requests and addressing exception points, including for HCC.

Indexed as

Carcinoma, HepatocellularHumansLiver NeoplasmsTissue and Organ ProcurementUnited StatesAllocationHepatocellular carcinomaLiver transplantationPolicy

Identifiers

PMID30895482
OpenAlexW2924953915

What OpenQuestion holds

Textmetadata
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.