Evidence map›Paper›PMID 27119342›Full record

Observational studyPloS one2016

Challenges in Collating Spirometry Reference Data for South-Asian Children: An Observational Study.

Sooky Lum, Vassiliki Bountziouka, Philip Quanjer, Samatha Sonnappa, Angela Wade, Caroline Beardsmore, Sunil K Chhabra, Rajesh K Chudasama, Derek G Cook, Seeromanie Harding and 5 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

15 authors at 9 institutions in 4 countries.

Sooky LumRespiratory, Critical Care & Anaesthesia section (Portex Unit), UCL, Institute of Child Health, London, United Kingdom.
Vassiliki BountzioukaRespiratory, Critical Care & Anaesthesia section (Portex Unit), UCL, Institute of Child Health, London, United Kingdom.
Philip QuanjerDepartment of Pulmonary Diseases and Department of Paediatrics-Pulmonary Diseases, Erasmus Medical Centre, Erasmus University, Rotterdam, Netherlands.
Samatha SonnappaRespiratory, Critical Care & Anaesthesia section (Portex Unit), UCL, Institute of Child Health, London, United Kingdom.
Angela WadeClinical Epidemiology, Nutrition and Biostatistics section, UCL, Institute of Child Health, London, United Kingdom.
Caroline BeardsmoreInstitute for Lung Health, NIHR Leicester Respiratory Biomedical Research Unit, and Department of Infection, Immunity & Inflammation, University of Leicester, Leicester, United Kingdom.
Sunil K ChhabraDepartment of Pulmonary Medicine, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, India.
Rajesh K ChudasamaCommunity Medicine Department, PDU Medical College, Rajkot, Gujarat, India.
Derek G CookPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Seeromanie HardingDiabetes & Nutritional Sciences Division, Kings College London, London, United Kingdom.
Claudia E KuehniInstitute of Social and Preventative Medicine, University of Bern, Switzerland.
K V V PrasadDepartment of Physiology, Vemana Yoga Research Institute, Hyderabad, India.
Peter H WhincupPopulation Health Research Institute, St George's, University of London, London, United Kingdom.
Simon LeeRespiratory, Critical Care & Anaesthesia section (Portex Unit), UCL, Institute of Child Health, London, United Kingdom.
Janet StocksRespiratory, Critical Care & Anaesthesia section (Portex Unit), UCL, Institute of Child Health, London, United Kingdom.
University College London · GBSt George's, University of London · GBErasmus University Rotterdam · NLGovernment Medical College · INInstitute of Social and Preventive Medicine · CHKing's College London · GBSwami Vivekananda Yoga Anusandhana Samsthana · INUniversity of Delhi · INUniversity of Leicester · GB

Funding

Medical Research Council MC_EX_G0701943Medical Research Council MC_U130015185Medical Research Council MC_UU_12017/1Medical Research Council MR/N015959/1Wellcome Trust
6 · The paper itself

Abstract

methodsSpirometry datasets from South-Asian children were collated from four centres in India and five within the UK. Records with transcription errors, missing values for height or spirometry, and implausible values were excluded(n = 110).

resultsFollowing exclusions, cross-sectional data were available from 8,124 children (56.3% male; 5-17 years). When compared with GLI-predicted values from White Europeans, forced expired volume in 1s (FEV1) and forced vital capacity (FVC) in South-Asian children were on average 15% lower, ranging from 4-19% between centres. By contrast, proportional reductions in FEV1 and FVC within all but two datasets meant that the FEV1/FVC ratio remained independent of ethnicity. The 'GLI-Other' equation fitted data from North India reasonably well while 'GLI-Black' equations provided a better approximation for South-Asian data than the 'GLI-White' equation. However, marked discrepancies in the mean lung function z-scores between centres especially when examined according to socio-economic conditions precluded derivation of a single South-Asian GLI-adjustment.

conclusionUntil improved and more robust prediction equations can be derived, we recommend the use of 'GLI-Black' equations for interpreting most South-Asian data, although 'GLI-Other' may be more appropriate for North Indian data. Prospective data collection using standardised protocols to explore potential sources of variation due to socio-economic circumstances, secular changes in growth/predictors of lung function and ethnicities within the South-Asian classification are urgently required.

Indexed as

AdolescentAlgorithmsAnthropometryAsian PeopleChildChild, PreschoolCross-Sectional StudiesDatabases, FactualData CollectionData Interpretation, StatisticalFemaleHumansIndiaMaleModels, StatisticalProspective Studies

Identifiers

PMID27119342
PMCPMC4847904
OpenAlexW2343554117

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.