Evidence map›Paper›PMID 27314965›Full record

ArticleJournal of neurology2016

Identifying Niemann-Pick type C in early-onset ataxia: two quick clinical screening tools.

Matthis Synofzik, Zofia Fleszar, Ludger Schöls, Jennifer Just, Peter Bauer, Juan V Torres Martin, Stefan Kolb

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2016. 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
1.9field-weighted citation impact, top 14% 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, 16 citations in OpenAlex.

  1. Autosomal recessive adult onset ataxia.Journal of neurology · 2022
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Miglustat in Niemann-Pick disease type C patients: a review.Orphanet journal of rare diseases · 2018
    Review
  8. Review
  9. Overcoming the divide between ataxias and spastic paraplegias: Shared phenotypes, genes, and pathways.Movement disorders : official journal of the Movement Disorder Society · 2017
    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

7 authors at 4 institutions in 2 countries.

Matthis SynofzikDepartment of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany. matthis.synofzik@uni-tuebingen.de.
Zofia FleszarDepartment of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Ludger SchölsDepartment of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Jennifer JustDepartment of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Peter BauerInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Juan V Torres MartinSyntax for Science SL, Basel, Switzerland.
Stefan KolbActelion Pharmaceuticals Ltd, Allschwil, Switzerland.
Hertie Institute for Clinical Brain Research · DEUniversity of Tübingen · DEActelion (Switzerland) · CHGerman Center for Neurodegenerative Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Niemann-Pick disease type C (NP-C) is a rare multisystemic lysosomal disorder which, albeit treatable, is still starkly underdiagnosed. As NP-C features early onset ataxia (EOA) in 85-90 % of cases, EOA presents a promising target group for undiagnosed NP-C patients. Here, we assessed the ability of the previously established NP-C suspicion index (SI) and a novel abbreviated '2/3 SI' tool for rapid appraisal of suspected NP-C in unexplained EOA. This was a retrospective observational study comparing 'NP-C EOA' cases (EOA patients with confirmed NP-C) with non-NP-C EOA controls (EOA patients negative for NP-C gene mutations). NP-C risk prediction scores (RPS) from both the original and 2/3 SIs were calculated and their discriminatory performance evaluated. Among 133 patients (47 NP-C EOA cases; 86 non-NP-C EOA controls), moderate (40-69 points) and high (≥70 points) RPS were common based on original SI assessments in non-NP-C EOA controls [16 (19 %) and 8 (9 %), respectively], but scores ≥70 points were far more frequent [46 (98 %)] among NP-C EOA cases. RPS cut-off values provided 98 % sensitivity and 91 % specificity for NP-C at 70-point cut-off, and ROC analysis revealed an AUC of 0.982. Using the 2/3 SI, 90 % of NP-C EOA cases had scores of 2 or 3, and RPS analysis showed an AUC of 0.961. In conclusion, the NP-C SI and the new, quick-to-apply 2/3 SI distinguished well between NP-C and non-NP-C patients, even in EOA populations with high background levels of broadly NPC-compatible multisystemic disease features. While the original SI showed the greatest sensitivity, both tools reliably aided identification of patients with unexplained EOA who warranted further investigation for NP-C.

Indexed as

AdolescentAdultAtaxiaChildChild, PreschoolFemaleHumansMaleMass ScreeningMiddle AgedNiemann-Pick Disease, Type CRetrospective StudiesROC CurveStatistics, NonparametricYoung AdultDiagnosisEarly onset ataxiaNiemann–Pick disease type CSuspicion index

Identifiers

PMID27314965
PMCPMC5037150
OpenAlexW2427028274

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.