Evidence map›Paper›PMID 32444424›Full record

ArticleBMJ open gastroenterology2020

Refinement and validation of the IDIOM score for predicting the risk of gastrointestinal cancer in iron deficiency anaemia.

Orouba Almilaji, Carla Smith, Sue Surgenor, Andrew Clegg, Elizabeth Williams, Peter Thomas, Jonathon Snook

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMJ open gastroenterology, 2020. 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
1.6field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Guideline
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  5. Review
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  8. Modelling the episodes of care for iron deficiency anemia patients in a secondary-care center using continuous-time multistate Markov chain.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
    Article
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 3 institutions in 1 country.

Orouba AlmilajiDepartment of Gastroenterology, Poole Hospital NHS Foundation Trust, Poole, UK.
Carla SmithDepartment of Gastroenterology, Poole Hospital NHS Foundation Trust, Poole, UK.
Sue SurgenorDepartment of Gastroenterology, Poole Hospital NHS Foundation Trust, Poole, UK.
Andrew CleggHealth Technology Assessment Group, University of Central Lancashire, Preston, Lancashire, UK.
Elizabeth WilliamsDepartment of Gastroenterology, Poole Hospital NHS Foundation Trust, Poole, UK.
Peter ThomasClinical Research Unit, Bournemouth University, Bournemouth, Dorset, UK.
Jonathon SnookDepartment of Gastroenterology, Poole Hospital NHS Foundation Trust, Poole, UK jonathon.snook@gmail.com.ORCID 0000-0002-3172-2722
Poole Hospital NHS Foundation Trust · GBBournemouth University · GBUniversity of Lancashire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo refine and validate a model for predicting the risk of gastrointestinal (GI) cancer in iron deficiency anaemia (IDA) and to develop an app to facilitate use in clinical practice.

designThree elements: (1) analysis of a dataset of 2390 cases of IDA to validate the predictive value of age, sex, blood haemoglobin concentration (Hb), mean cell volume (MCV) and iron studies on the probability of underlying GI cancer; (2) a pilot study of the benefit of adding faecal immunochemical testing (FIT) into the model; and (3) development of an app based on the model.

resultsAge, sex and Hb were all strong, independent predictors of the risk of GI cancer, with ORs (95% CI) of 1.05 per year (1.03 to 1.07, p<0.00001), 2.86 for men (2.03 to 4.06, p<0.00001) and 1.03 for each g/L reduction in Hb (1.01 to 1.04, p<0.0001) respectively. An association with MCV was also revealed, with an OR of 1.03 for each fl reduction (1.01 to 1.05, p<0.02). The model was confirmed to be robust by an internal validation exercise. In the pilot study of high-risk cases, FIT was also predictive of GI cancer (OR 6.6, 95% CI 1.6 to 51.8), but the sensitivity was low at 23.5% (95% CI 6.8% to 49.9%). An app based on the model was developed.

conclusionThis predictive model may help rationalise the use of investigational resources in IDA, by fast-tracking high-risk cases and, with appropriate safeguards, avoiding invasive investigation altogether in those at ultra-low predicted risk.

Indexed as

AgedAnemia, Iron-DeficiencyDatabases, FactualErythrocyte IndicesFecesFemaleGastrointestinal NeoplasmsHemoglobinsHumansIncidenceIronMaleMiddle AgedOccult BloodPilot ProjectsPredictive Value of TestsHemoglobinsIronendoscopygastrointestinal neoplasiairon deficiency

Identifiers

PMID32444424
PMCPMC7247388
OpenAlexW3022205306

What OpenQuestion holds

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LicenceCC BY-NC
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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.