Evidence map›Paper›PMID 31220076›Full record

ArticlePLoS biology2019

Applying the science of measurement to biology: Why bother?

Carmen H Coxon, Colin Longstaff, Chris Burns

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Establishment of a WHO Reference Reagent for anti-Mullerian hormone.Reproductive biology and endocrinology : RB&E · 2020
    Article
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  9. Review
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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

3 authors.

Carmen H CoxonNational Institute of Biological Standards and Control, South Mimms, Potters Bar, Hertfordshire, United Kingdom.ORCID 0000-0001-8694-4894
Colin LongstaffNational Institute of Biological Standards and Control, South Mimms, Potters Bar, Hertfordshire, United Kingdom.ORCID 0000-0001-7608-208X
Chris BurnsNational Institute of Biological Standards and Control, South Mimms, Potters Bar, Hertfordshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both basic and translational research are continuously evolving, but the principles that underpin research integrity remain constant. These include rational, hypothesis-driven, and adequately planned and controlled science, which is carried out openly, honestly, and ethically. An important component of this should be minimising experimental irreproducibility. Biological systems, in particular, are inherently variable due to the nature of cells and tissues, as well as the complex molecules within them. As a result, it is important to understand and identify sources of variability and to strive to minimise their influence. In many instances, the application of metrology (the science of measurement) can play an important role in ensuring good quality research, even within biological systems that aren't always amenable to many of the metrological concepts applied in other fields. Here, we introduce the basic concepts of metrology in relation to biological systems and promote the application of these principles to help avoid potentially costly mistakes in both basic and translational research. We also call on funders to encourage the uptake of metrological principles, as well as provide funding and support for later engagement with regulatory bodies.

Indexed as

Reproducibility of ResultsAnimalsBiasBiologyHumansReference StandardsResearch DesignTranslational Research, BiomedicalWeights and Measures

Identifiers

PMID31220076
PMCPMC6605671

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.