| Literature DB >> 26714856 |
Linda Cassis1, Elisenda Cortès-Saladelafont1, Marta Molero-Luis1, Delia Yubero1, Maria Julieta González1, Aida Ormazábal1, Carme Fons1, Cristina Jou1, Cristina Sierra1, Esperanza Castejon Ponce1, Federico Ramos1, Judith Armstrong1, M Mar O'Callaghan1, Mercedes Casado1, Raquel Montero1, Silvia Meavilla-Olivas1, Rafael Artuch1, Ivo Barić2, Franco Bartoloni3, Cinzia Maria Bellettato4, Fedele Bonifazi3, Adriana Ceci3, Ljerka Cvitanović-Šojat2, Christine I Dali5, Francesca D'Avanzo4, Ksenija Fumic2, Viviana Giannuzzi3, Christina Lampe4,6, Maurizio Scarpa4,6,7, Ángels Garcia-Cazorla8.
Abstract
BACKGROUND: Inherited neurometabolic disorders (iNMDs) represent a group of almost seven hundred rare diseases whose common manifestations are clinical neurologic or cognitive symptoms that can appear at any time, in the first months/years of age or even later in adulthood. Early diagnosis and timely treatments are often pivotal for the favorable course of the disease. Thus, the elaboration of new evidence-based recommendations for iNMD diagnosis and management is increasingly requested by health care professionals and patients, even though the methodological quality of existing guidelines is largely unclear. InNerMeD-I-Network is the first European network on iNMDs that was created with the aim of sharing and increasing validated information about diagnosis and management of neurometabolic disorders. One of the goals of the project was to determine the number and the methodological quality of existing guidelines and recommendations for iNMDs.Entities:
Mesh:
Year: 2015 PMID: 26714856 PMCID: PMC4696316 DOI: 10.1186/s13023-015-0376-9
Source DB: PubMed Journal: Orphanet J Rare Dis ISSN: 1750-1172 Impact factor: 4.123
Fig. 1Flowchart of the strategy used to search and select GLs and RCs. A systematic search of the literature was performed in order to identify GLs and RCs encompassing 682 iNMDs. The documents were firstly selected on the basis of title and abstract (251 items). The analysis of the full text, as well as the application of the exclusion criteria, returned 55 unique documents that underwent AGREE II appraisal. GL: guideline; RC: recommendation; NGC: National Guideline Clearinghouse; G-I-N: Guideline International Network; SIGN: Scottish Intercollegiate Guideline Network; NICE: National Institute for Health and Care Excellence; AGREE: Appraisal of Guidelines, Research, and Evaluation
AGREE II instrument-domains and items
| Domain | Item | |
|---|---|---|
| Number | Content | |
| 1. Scope and purpose | 1 | The overall objective(s) of the guideline is (are) specifically described |
| 2 | The clinical question(s) covered by the guideline is (are) specifically described | |
| 3 | The population to whom the guideline is mean to apply is specifically described | |
| 2. Stakeholder involvement | 4 | The guideline development group includes individuals from all relevant professional groups |
| 5 | The views and preferences of the target population have been sought | |
| 6 | The target users of the guideline are clearly defined | |
| 3. Rigour of development | 7 | Systematic methods were used to search for evidence |
| 8 | The criteria for selecting the evidence are clearly described | |
| 9 | The strengths and limitations of the body of evidence are clearly described | |
| 10 | The methods for formulating the recommendations are clearly described | |
| 11 | The health benefits, side effects, and risks have been considered in formulating the recommendations | |
| 12 | There is an explicit link between the recommendations and the supporting evidence | |
| 13 | The guideline has been externally reviewed by experts prior to its publication | |
| 14 | A procedure for updating the guideline is provided | |
| 4. Clarity of presentation | 15 | The recommendations are specific and unambiguous |
| 16 | The different options for management of the condition or health issue are clearly presented | |
| 17 | Key recommendations are easily identifiable | |
| 5. Applicability | 18 | The guideline describes facilitators and barriers to its application |
| 19 | The guideline provides advice and/or tools on how the recommendations can be put into practice | |
| 20 | The potential resource implications of applying the recommendations have been considered | |
| 21 | The guideline presents monitoring and/or auditing criteria | |
| 6. Editorial independence | 22 | The views of the funding body have not influenced the content of the guideline |
| 23 | Competing interests of guideline development group members have been recorded and addressed | |
| Overall assessment | 1 | Overall quality of this guideline |
| 2 | Would you recommend this guideline for use? | |
Characteristics of the guidelines and recommendations
| Authors/titles | Year | Disorder | Authors (n) | Countries (n) | Affiliations (n) | Topics |
|---|---|---|---|---|---|---|
| Disorders of amino acid and other organic acid metabolism | ||||||
| Arnold GL [ | 2008 | 3-methylcrotonyl CoA carboxylase deficiency | 15 | 2 | 15 | Diagnosis, management |
| Baumgartner MR [ | 2014 | Methylmalonic and propionic acidemia | 25 | 12 | 21 | Screening, diagnosis, management, follow-up |
| Frazier D [ | 2014 | Maple syrup urine disease | 9 | 1 | 9 | Management |
| Haberle J [ | 2012 | Urea cycle disorders | 15 | 4 | 14 | Screening, diagnosis, management, follow-up |
| Kölker S [ | 2011 | Glutaric aciduria type I | 19 | 8 | 15 | Screening, diagnosis, management |
| Kölker S [ | 2007 | Glutaric aciduria type I | 19 | 10 | 15 | Screening, diagnosis, management |
| NIH CDP [ | 2001 | Phenylketonuria | 14 | 1 | 14 | Screening, diagnosis, management, follow-up |
| Vockley J [ | 2014 | Phenylketonuria | 10 | 1 | 10 | Screening, diagnosis, management, follow-up |
| Disorders of carbohydrate metabolism | ||||||
| Barba-Romero MA [ | 2012 | Pompe disease | 13 | 1 | 13 | Diagnosis, management, follow-up |
| Cochat P [ | 2012 | Primary hyperoxaluria Type 1 | 18 | 6 | 16 | Screening, diagnosis, management |
| Cupler EJ [ | 2012 | Pompe disease | 7 | 1 | 7 | Diagnosis, management |
| Kishnani PS [ | 2014 | Glycogen storage disease type I | 15 | 1 | 8 | Diagnosis, management |
| Kishnani PS [ | 2010 | Glycogen Storage Disease Type III | 16 | 1 | 10 | Screening, diagnosis, management |
| Kishnani PS [ | 2006 | Pompe disease | 22 | 3 | 15 | Screening, diagnosis, management, follow-up |
| Rake JP [ | 2002 | Glycogen storage disease type I | 6 | 4 | 4 | Diagnosis, management, follow-up |
| Visser G [ | 2002 | Glycogen Stoage Disease type I | 8 | 5 | 6 | Management |
| Winchester B [ | 2008 | Pompe disease | 29 | 17 | 25 | Diagnosis |
| Disorders of vitamin and non protein cofactor metabolism and transport | ||||||
| BCMSC [ | 2011 | Cobalamin deciciency | unclear | 1 | unclear | Diagnosis, management, follow-up |
| Devalia V [ | 2014 | Cobalamin and folate disorders | 3 | 2 | 3 | Screening, diagnosis, management |
| Disorders of porphyrin and haem metabolism | ||||||
| Stein P [ | 2013 | Porphyria | 5 | 1 | 5 | Diagnosis, management |
| Disorders of mineral absorption and transport | ||||||
| Bacon BR [ | 2011 | Hemochromatosis | 5 | 2 | 5 | Screening, diagnosis, management |
| BCMA [ | 2013 | Hemochromatosis | Unclear | 1 | Unclear | Screening, diagnosis, management |
| EASL [ | 2012 | Wilson Disease | 8 | Unclear | Unclear | Screening, diagnosis, management |
| Qaseem A [ | 2005 | Hemochromatosis | 6 | 1 | 5 | Screening |
| Roberts EA [ | 2003 | Wilson Disease | 2 | 2 | 2 | Diagnosis, management |
| Disorders of energy metabolism | ||||||
| Angelini [ | 2006 | Fatty acid mitochondrial disorders | 6 | 4 | 5 | Diagnosis, management |
| Arnold GL [ | 2009 | Very long chain acyl-CoA dehydrogenase deficiency | 14 | 2 | 14 | Diagnosis, management |
| Finsterer J [ | 2009 | Mitochondrial disorders | 18 | 12 | 18 | Diagnosis |
| Disorders of lysosomal and lysosomal-related organelles | ||||||
| Andersson [ | 2005 | Gaucher disease | 10 | 1 | 10 | Management, follow-up |
| Bennett RL [ | 2002 | Fabry disease | 9 | 1 | 8 | Diagnosis, management, follow-up |
| Biegstraaten M [ | 2015 | Fabry disease | 34 | 15 | 29 | Management |
| Charrow J [ | 2004 | Gaucher disease | 11 | 1 | 10 | Diagnosis, management, follow-up |
| de Ru MH [ | 2011 | Mucopolysaccharidosis type I | 16 | 6 | 14 | Management |
| Desnick RJ [ | 2003 | Fabry disease | 9 | 2 | 9 | Diagnosis, management, follow-up |
| Eng CM [ | 2006 | Fabry disease | 13 | 4 | 11 | Diagnosis, management, follow-up |
| Fahnehjelm KT [ | 2012 | Mucopolysaccharidosis | 7 | 5 | 5 | Diagnosis, management |
| Giugliani R [ | 2007 | Mucopolysaccharidosis VI | 3 | 3 | 3 | Diagnosis, management, follow-up |
| Grabowski GA [ | 2004 | Gaucher disease | 11 | 5 | 10 | Diagnosis, management |
| Kaplan P [ | 2013 | Gaucher disease | 11 | 9 | 11 | Diagnosis, management, follow-up |
| Kes VB [ | 2013 | Fabry disease | 16 | 1 | 11 | Screening, diagnosis, management, follow-up |
| Laney DA [ | 2013 | Fabry disease | 9 | 1 | 9 | Screening, diagnosis, management, follow-up |
| Langereis EJ [ | 2013 | Mucopolysaccharidosis type I | 17 | 8 | 15 | Diagnosis, management, follow-up |
| Muenzer J [ | 2012 | Mucopolysaccharidosis type II | 11 | 6 | 11 | Management, follow-up |
| Muenzer J [ | 2009 | Mucopolysaccharidosis type I | 12 | 6 | Unclear | Diagnosis, management, follow-up |
| Ortiz A [ | 2008 | Fabry disease | 6 | 5 | 6 | Diagnosis, management, follow-up |
| Patterson MC [ | 2012 | Niemann-Pick disease type C | 6 | 5 | 6 | Diagnosis, management, follow-up |
| Peters C [ | 2003 | Hematopoietic cell transplantation for IMDs | Unclear | Unclear | 2 | Management, follow-up |
| Scarpa M [ | 2011 | Mucopolysaccharidosis type II | 26 | 14 | 25 | Screening, diagnosis, management |
| Solanki GA [ | 2012 | Mucopolysaccharidosis type VI | 13 | 4 | 13 | Diagnosis, management, follow-up |
| Terryn W [ | 2013 | Fabry disease | 9 | 5 | 9 | Screening, diagnosis, management, follow-up |
| Vellodi A [ | 2001 | Gaucher disease | 8 | 6 | 8 | Maganement, follow-up |
| Vom Dahl S [ | 2006 | Gaucher disease | 7 | 4 | 7 | Follow-up |
| Wang RY [ | 2011 | Lysosomal storage diseases | 4 | 1 | 5 | Screening, diagnosis, management, follow-up |
| Weinreb NJ [ | 2004 | Gaucher disease | 25 | 14 | 24 | Diagnosis, follow-up |
| Wraith JE [ | 2009 | Niemann-Pick disease type C | 13 | 10 | 13 | Screening, diagnosis, management, follow-up |
NIH CDP National institutes of health consensus development panel, BCMSC British Columbia medical services Commission, BCMA British Columbia medical association, EASL European association for study of liver
Fig. 2Characteristics of the identified GLs and RCs. a Number of the GLs and RCs selected for each group of disorders. b Number of disorders belonging to each group. c Percentage of disorders for which 1 to 8 different GLs and RCs were identified. A: amino acid and organic acid metabolism (n = 8); B: Purine, pyrimidine and neurotrasmitter metabolism (n = 0); C: carbohydrate metabolism (n = 9); D: lipid metabolism (n = 0); E: vitamin and non protein cofactor metabolism and transport (n = 2); F: porphyrin and hem metabolism (n = 1); G: mineral absorption and transport (n = 5); H: energy metabolism (n = 3); I: lysosomal and lysosomal-related organelles (n = 27); J: peroxisomes (n = 0)
Fig. 3Publication date, origin and topics of the identified GLs and RCs. a Number of GLs and RCs published between 2000 and 2015. b Correlation between year of publication from 2000 to 2014 and number of GLs or RCs, linear regression. c Country of origin of the GLs and RCs. For each document, the countries of origin of all the authors were analyzed and GLs and RCs were classified as: from Europe, from USA or from miscellaneous origin (different continents or different American countries). Data are expressed as relative percentage referred to total GLs and RCs covering the same group of disorders. d Topics covered by the identified GLs and RCs. A: amino acid and organic acid metabolism (n = 8); C: carbohydrate metabolism (n = 9); E: vitamin and non protein cofactor metabolism and transport (n = 2); F: porphyrin and hem metabolism (n = 1); G: mineral absorption and transport (n = 5); H: energy metabolism (n = 3); I: lysosomal and lysosomal-related organelles (n = 27)
Fig. 4Overall quality of the identified GLs and RCs. a Overall recommendation: percentage of strongly recommended (SR), recommended (R) and not recommended (NR) GLs and RCs. Data are expressed as relative percentage referred to total GLs and RCs covering the same group of diseases. b Overall quality assessment (OQA) of GLs and RCs. Data are presented as mean ± SD. c Correlation between OQA and year of publication, linear regression. d Grade of recommendation (GR) of GLs and RCs (scores from 1 = not recommended to 3 = recommended without modifications). Data are presented as mean ± SD. A: amino acid and organic acid metabolism (n = 8); C: carbohydrate metabolism (n = 9); D: lipid metabolism; E: vitamin and non protein cofactor metabolism and transport; G: mineral absorption and transport (n = 5); H: energy metabolism (n = 3); I: lysosomal and lysosomal-related organelles (n = 27)
Results of AGREE II appraisal for all the identified guidelines and recommendations
| Authors | OR | D1 | D2 | D3 | D4 | D5 | D6 | OQA | GR |
|---|---|---|---|---|---|---|---|---|---|
| Disorders of amino acid and other organic acid metabolism | |||||||||
| Arnold GL | R | 67 | 44 | 52 | 61 | 29 | 0 | 50 | 2 |
| Baumgartner MR | SR | 94 | 86 | 95 | 94 | 46 | 50 | 92 | 3 |
| Frazier D | SR | 78 | 92 | 83 | 97 | 65 | 58 | 92 | 2.5 |
| Haberle J | SR | 83 | 89 | 90 | 89 | 58 | 96 | 92 | 3 |
| Kölker S-2011 | SR | 56 | 58 | 83 | 92 | 63 | 100 | 75 | 2.5 |
| Kölker S-2007 | R | 67 | 36 | 91 | 89 | 29 | 100 | 75 | 2.5 |
| NIH CDP | SR | 89 | 86 | 86 | 81 | 73 | 4 | 58 | 2.5 |
| Vockley J | R | 89 | 31 | 60 | 78 | 48 | 54 | 75 | 2 |
| Disorders of carbohydrate metabolism | |||||||||
| Barba-Romero MA | R | 80 | 61 | 53 | 83 | 31 | 50 | 75 | 2 |
| Cochat P | R | 72 | 28 | 27 | 92 | 31 | 33 | 58 | 2.5 |
| Cupler EJ | R | 64 | 64 | 46 | 67 | 41 | 63 | 75 | 2 |
| Kishnani PS-2014 | SR | 86 | 61 | 47 | 100 | 58 | 63 | 75 | 2.5 |
| Kishnani PS-2010 | R | 89 | 61 | 50 | 83 | 48 | 33 | 67 | 2 |
| Kishnani PS-2006 | SR | 83 | 56 | 44 | 56 | 50 | 75 | 67 | 2 |
| Rake JP | R | 94 | 17 | 27 | 92 | 25 | 0 | 58 | 2 |
| Visser G | R | 83 | 19 | 23 | 83 | 23 | 0 | 50 | 2 |
| Winchester B | NR | 72 | 36 | 14 | 53 | 25 | 67 | 42 | 1.5 |
| Disorders of vitamin and non protein cofactor metabolism and transport | |||||||||
| BCMSC | R | 94 | 31 | 51 | 61 | 27 | 0 | 67 | 2.5 |
| Devalia V | R | 83 | 33 | 71 | 94 | 67 | 83 | 83 | 2 |
| Disorders of porphyrin and hem metabolism | |||||||||
| Stein P | SR | 89 | 81 | 56 | 89 | 56 | 50 | 75 | 2.5 |
| Disorders of mineral absorption and transport | |||||||||
| Bacon BR | R | 56 | 44 | 75 | 83 | 46 | 17 | 67 | 2 |
| BCMA | R | 94 | 8 | 13 | 81 | 27 | 0 | 58 | 2 |
| EASL | R | 67 | 28 | 49 | 86 | 35 | 38 | 67 | 2 |
| Qaseem A | NR | 100 | 36 | 27 | 50 | 23 | 42 | 33 | 1.5 |
| Roberts EA | R | 67 | 17 | 32 | 78 | 33 | 0 | 58 | 2 |
| Disorders of energy metabolism | |||||||||
| Angelini | NR | 64 | 8 | 36 | 31 | 8 | 21 | 33 | 1.5 |
| Arnold GL | R | 86 | 67 | 61 | 72 | 38 | 0 | 67 | 2 |
| Finsterer J | R | 75 | 53 | 48 | 72 | 19 | 0 | 58 | 2.5 |
| Disorders of lysosomal and lysosomal-related organelles | |||||||||
| Andersson | R | 83 | 33 | 29 | 67 | 25 | 0 | 58 | 2.5 |
| Bennett RL | SR | 92 | 86 | 69 | 78 | 52 | 46 | 83 | 3 |
| Biegstraaten M | SR | 64 | 81 | 65 | 64 | 42 | 71 | 67 | 2 |
| Charrow J | R | 81 | 56 | 43 | 69 | 33 | 13 | 58 | 2 |
| de Ru MH | SR | 89 | 50 | 63 | 89 | 54 | 58 | 75 | 2.5 |
| Desnick RJ | NR | 64 | 22 | 40 | 53 | 48 | 46 | 42 | 2 |
| Eng CM | R | 92 | 42 | 45 | 89 | 46 | 0 | 67 | 2.5 |
| Fahnehjelm KT | R | 75 | 58 | 32 | 81 | 38 | 50 | 75 | 2.5 |
| Giugliani R | R | 75 | 56 | 56 | 67 | 29 | 38 | 58 | 2 |
| Grabowski GA | R | 72 | 33 | 27 | 56 | 33 | 0 | 50 | 2 |
| Kaplan P | R | 78 | 39 | 29 | 78 | 38 | 100 | 83 | 2 |
| Kes VB | R | 61 | 33 | 29 | 56 | 21 | 0 | 50 | 2 |
| Laney DA | R | 94 | 92 | 46 | 78 | 46 | 83 | 67 | 2.5 |
| Langereis EJ | R | 86 | 72 | 58 | 53 | 23 | 46 | 58 | 2 |
| Muenzer J-2012 | R | 92 | 53 | 33 | 69 | 40 | 92 | 50 | 2.5 |
| Muenzer J-2009 | R | 69 | 36 | 28 | 69 | 42 | 50 | 58 | 2 |
| Ortiz A | R | 58 | 31 | 40 | 61 | 23 | 92 | 50 | 2.5 |
| Patterson MC | R | 78 | 28 | 38 | 78 | 42 | 4 | 67 | 2 |
| Peters C | NR | 64 | 39 | 25 | 33 | 13 | 0 | 25 | 1.5 |
| Scarpa M | SR | 61 | 75 | 61 | 89 | 42 | 58 | 75 | 2.5 |
| Solanki GA | R | 72 | 39 | 24 | 61 | 54 | 100 | 50 | 1.5 |
| Terryn W | SR | 81 | 44 | 67 | 78 | 58 | 54 | 67 | 2.5 |
| Vellodi A | NR | 83 | 61 | 30 | 72 | 17 | 0 | 42 | 1.5 |
| Vom Dahl S | R | 89 | 36 | 54 | 56 | 31 | 83 | 50 | 2 |
| Wang RY | SR | 92 | 64 | 53 | 92 | 67 | 92 | 83 | 2.5 |
| Weinreb NJ | R | 67 | 39 | 30 | 67 | 17 | 4 | 50 | 2 |
| Wraith JE | R | 83 | 28 | 46 | 83 | 42 | 0 | 83 | 3 |
OR Overall recommendation, D Domain, OQA Overall quality assessment, GR Grade of recommendation, NIH CDP National institutes of health consensus development panel, BCMSC British Columbia medical services commission, BCMA British Columbia medical association, EASL European association for study of liver, SR Strongly recommended, R Recommended, NR Not recommended domain scores were calculated as described in Methods
Fig. 5Correlation between quality of the GLs/RCs and number of authors, countries or affiliations. Linear regression analysis was used to determine whether the overall quality assessment (OQA) of a GL could depend on the number of authors (a), countries (b) or affiliations (c) involved in its elaboration
Fig. 6Results of AGREE II appraisal for domains 1–6. The identified GLs and RCs were scored on a 7-point scale for the 23 items belonging to domain 1 (a), domain 2 (b), domain 3 (c), domain 4 (d), domain 5 (e) and domain 6 (f). Data are presented as mean ± SD of values obtained by each group of disorders in each domain. A: amino acid and organic acid metabolism (n = 8); C: carbohydrate metabolism (n = 9); E: vitamin and non protein cofactor metabolism and transport (n = 2); G: mineral absorption and transport (n = 5); H: energy metabolism (n = 3); I: lysosomal and lysosomal-related organelles (n = 27)
Fig. 7Results of AGREE II appraisal for individual items. Scores obtained by the identified GLs and RCs on a 7-point scale for item 4 (a), item 7 (b), item 8 (c), item 9 (d), item 10 (e) and item 13 (f). Data are presented as mean ± SD of values obtained by each group of disorders in each item. A: amino acid and organic acid metabolism (n = 8); C: carbohydrate metabolism (n = 9); E: vitamin and non protein cofactor metabolism and transport (n = 2); G: mineral absorption and transport (n = 5); H: energy metabolism (n = 3); I: lysosomal and lysosomal-related organelles (n = 27)
Fig. 8Results of AGREE II appraisal for Gaucher disease and Fabry disease. GLs and RCs for Gaucher disease (a) and Fabry disease (c) were scored on a 7-point scale for the 23 items belonging to domain 1–6. Numbers indicate the scores obtained in each domain by GLs and RCs grouped by year of publication. Correlation between overall quality assessment (OQA) and year of publication was determined for all existing GLs and RCs for Gaucher disease (b) and Fabry disease (d), linear regression
|
| Amino acid and organic acid metabolism |
|
| Purine, pyrimidine and neurotrasmitter metabolism |
|
| Carbohydrate metabolism |
|
| Lipid metabolism |
|
| Vitamin and non protein cofactor metabolism and transport |
|
| Porphyrin and hem metabolism |
|
| Mineral absorption and transport |
|
| Energy metabolism |
|
| Lysosomal and lysosomal-related organelles |
|
| Peroxisomes |