Evidence map›Paper›PMID 28893311›Full record

SynthesisOrphanet journal of rare diseases2017

Evaluation of pre-symptomatic nitisinone treatment on long-term outcomes in Tyrosinemia type 1 patients: a systematic review.

Julia Geppert, Chris Stinton, Karoline Freeman, Hannah Fraser, Aileen Clarke, Samantha Johnson, Paul Sutcliffe, Sian Taylor-Phillips

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Orphanet journal of rare diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Response to Neeleman et al.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  9. Heme as an initial treatment for severe decompensation in tyrosinemia type 1.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  10. Article
  11. Article
  12. Article
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

8 authors at 1 institution in 1 country.

Julia GeppertWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Chris StintonWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Karoline FreemanWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Hannah FraserWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Aileen ClarkeWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Samantha JohnsonWarwick Library, University of Warwick, Coventry, CV4 7AL, UK.
Paul SutcliffeWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
Sian Taylor-PhillipsWarwick Medical School, University of Warwick, Coventry, CV4 7AL, UK. S.Taylor-Phillips@warwick.ac.uk.
University of Warwick · GB

Funding

Department of Health CDF-2016-09-018
6 · The paper itself

Abstract

backgroundTyrosinemia type 1 (TYR1) is a rare autosomal recessive disorder of amino acid metabolism that is fatal without treatment. With medication (nitisinone) and dietary restrictions outcomes are improved. We conducted a systematic review to investigate if treatment with nitisinone following screening provides better long-term outcomes than treatment with nitisinone following symptomatic detection.

methodsWe searched Web of Science, Medline, Pre-Medline, and Embase up to 23rd September 2016 for journal articles comparing clinical outcomes of TYR1 patients receiving earlier versus later nitisinone treatment. Two reviewers independently screened titles and abstracts, assessed full texts, and appraised study quality. Data extraction was performed by a single reviewer and checked by a second.

resultsWe included seven articles out of 470 unique records identified by our search. The seven articles included four studies (three cohort studies and one cross-sectional study). Study sample sizes ranged from 17 to 148. There is consistent evidence that nitisinone is an effective treatment for TYR1, and some evidence that earlier treatment with nitisinone and dietary restrictions within the first one or 2 months of life is associated with reduced need for liver transplantation, lower rates of renal dysfunction, fewer neurological crises, and fewer, shorter hospital admissions compared to later treatment. However, study quality was moderate to weak, with high risk of confounding and applicability concerns to the screening context. We conducted post hoc analyses to address these issues. Results suggested an association between earlier treatment and fewer liver transplants (earlier treatment: 0% of 10-24 patients; later treatment: 25-60% of 4-15 patients), but no impact on neurological crises. We found no effect of treatment timing on mortality in either the primary or post hoc analyses. Post hoc analyses of other health-related outcomes were not possible because of sample size or reporting.

conclusionsThere is some evidence from observational studies that earlier treatment with nitisinone might be beneficial but this is subject to bias. The applicability of our findings to the screening context or clinical practice is limited as not all early-treated patients were identified by screening and late-treated groups included patients born prior to the availability of nitisinone.

Indexed as

CyclohexanonesHumansInfant, NewbornNeonatal ScreeningNitrobenzoatesTyrosinemiasCyclohexanonesnitisinoneNitrobenzoatesLong-term outcomesNewborn screeningNitisinoneSystematic reviewTreatmentTyrosinemia

Identifiers

PMID28893311
PMCPMC5594482
OpenAlexW2755037563

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.