Evidence map›Paper›PMID 28396850›Full record

ArticleJournal of diabetes and metabolic disorders2017

HbA

Sebastian T Lugg, Christine J H May, Peter Nightingale, Robbie P E Tuffley, June Al-Hourani, Parijat De

Open access · hybridAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Observational
  3. 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

6 authors at 2 institutions in 1 country.

Sebastian T LuggDepartment of Diabetes & Endocrinology, City Hospital Birmingham, Sandwell & West Birmingham NHS Trust, Birmingham, UK.
Christine J H MayDepartment of Diabetes & Endocrinology, City Hospital Birmingham, Sandwell & West Birmingham NHS Trust, Birmingham, UK.
Peter NightingaleInstitute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Robbie P E TuffleyDepartment of Diabetes & Endocrinology, City Hospital Birmingham, Sandwell & West Birmingham NHS Trust, Birmingham, UK.
June Al-HouraniDepartment of Diabetes & Endocrinology, City Hospital Birmingham, Sandwell & West Birmingham NHS Trust, Birmingham, UK.
Parijat DeDepartment of Diabetes & Endocrinology, City Hospital Birmingham, Sandwell & West Birmingham NHS Trust, Birmingham, UK.
Centre for Inflammation Research · GBUniversity Hospitals Birmingham NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes and pre-diabetes are prevalent in acute coronary syndrome (ACS) and relate to adverse outcomes. This study used HbA

methodsOver a 1-year period (June 2014-2015) consecutive patients admitted to a single centre cardiology unit with an initial diagnosis of ACS without prior diabetes diagnosis were electronically referred to our diabetes team. Patients were screened for the presence of diabetes by use of an initial HbA

resultsWe screened 399 patients in total. The mean age was 65 ± 14 years, 268 (67%) were men, 290 (73%) were Caucasian, 95 (24%) were South Asian and 14 (4%) were Afro-Caribbean ethnicity. Of all patients, 57 (14.3%) were diagnosed as pre-diabetes and 43 (10.8%) newly diagnosed diabetes. During the study 28 (7%) patients could not be classified; 6 (1.5%) patients died during the study and 22 (5.5%) patients were missing either initial or repeat HbA

conclusionsThe use of a simple HbA

Indexed as

Acute coronary syndromeHbA1cPre-diabetesType 2 diabetes

Identifiers

PMID28396850
PMCPMC5379760
OpenAlexW2604883366

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.