Evidence map›Paper›PMID 41625943›Full record

ReviewSage open pediatrics

Epidemiology of Hyperphenylalaninemia: A Systematic Review and Meta-Analysis.

Tamás István Dóczi, Shailja Vaghela, George Dennis Obeng, David Ameyaw, Tamás Zelei, Zoltán Vokó, Vanja Sikirica, Orsolya Varga, Gábor Kovács, Judit Józwiak-Hagymásy and 1 more

Abstract readReview
In one paragraph

Review in Sage open pediatrics. 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

11 authors.

Tamás István DócziSyreon Research Institute, Budapest, Hungary.ORCID https://orcid.org/0009-0001-2891-5195
Shailja VaghelaModerna, Inc., Cambridge, MA, USA.
George Dennis ObengSyreon Research Institute, Budapest, Hungary.
David AmeyawSyreon Research Institute, Budapest, Hungary.
Tamás ZeleiSyreon Research Institute, Budapest, Hungary.
Zoltán VokóSyreon Research Institute, Budapest, Hungary.
Vanja SikiricaModerna, Inc., Cambridge, MA, USA.
Orsolya VargaSyreon Research Institute, Budapest, Hungary.
Gábor KovácsSyreon Research Institute, Budapest, Hungary.
Judit Józwiak-HagymásySyreon Research Institute, Budapest, Hungary.
Sue PereraModerna, Inc., Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objectives: This systematic review and meta-analysis quantified global and regional birth prevalence of hyperphenylalaninemia (HPA) caused by phenylalanine (Phe) hydroxylase deficiency. Data sources and methods: Searches of PubMed, Embase, the Cochrane Library and PROSPERO yielded 4297 records; 210 met inclusion and 97 contributed to a rasyndom-effects model stratified by blood Phe cut-off values. Results: The regionally weighted global prevalence of HPA was 0.84 per 10 000 live births (95% CI 0.44-1.24), ranging from 0.60 in South America to 1.30 in the Middle East and North Africa (MENA). Classic PKU (Phe: 1200 ± 200 μmol/l) occurred in 0.29 per 10 000 births overall, reaching 0.58 (0.34-0.87) in North America and 0.67 (0.28-1.23) in Europe. Conclusion: Prevalence patterns mirrored consanguinity rates, explaining the high burden in MENA and the low figures in Southeast Asia. The meta-analysis, applying rare-disease-specific minimum sample-size threshold, confirmed HPA, incl. PKU as a rare disease and validated prevalence estimates.

Indexed as

epidemiologyhyperphenylalaninemiaphenylalanine hydroxylase deficiencyphenylketonuriaprevalence

Identifiers

PMID41625943
PMCPMC12852608

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.