Evidence map›Paper›PMID 25520565›Full record

ArticleClinical medicine insights. Endocrinology and diabetes2014

Monitoring HIV-infected Patients with Diabetes: Hemoglobin A1c, Fructosamine, or Glucose?

So-Young Kim, Patricia Friedmann, Amit Seth, Adrienne M Fleckman

Open access · goldAbstract read
In one paragraph

Article in Clinical medicine insights. Endocrinology and diabetes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

So-Young KimDepartment of Medicine, Beth Israel Medical Center, New York, NY, USA.
Patricia FriedmannOffice of Grants and Research Administration, Beth Israel Medical Center, New York, NY, USA.
Amit SethDivision of Endocrinology and Friedman Diabetes Institute, Albert Einstein College of Medicine/Beth Israel Medical Center, New York, NY, USA.
Adrienne M FleckmanDivision of Endocrinology and Friedman Diabetes Institute, Albert Einstein College of Medicine/Beth Israel Medical Center, New York, NY, USA.
Mount Sinai Beth Israel · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublished studies report inappropriately low hemoglobin A1C (HbA1c) values that underestimate glycemia in HIV patients.

methodsWe reviewed the charts of all HIV patients with diabetes mellitus (DM) at our clinic. Fifty-nine patients had HbA1c data, of whom 26 patients also had fructosamine data. We compared the most recent HbA1c to finger-stick (FS) glucose averaged over three months, and fructosamine to FS averaged over six weeks. Predicted average glucose (pAG) was calculated as reported by Nathan et al: pAG (mg/dL) = 28.7 × A1C% - 46.7. Data were analyzed using the Statistical Analysis System (SAS) and Kruskal-Wallis test.

resultsHbA1c values underestimated (UE) actual average glucose (aAG) in 19% of these patients and overestimated (OE) aAG in 27%. HbA1c estimated aAG within the established range in only 54% of the patients. There were no statistical differences in the types of HIV medication used in patients with UE, OE, or accurately estimated (AE) glycemia. A Spearman correlation coefficient between HbA1c and aAG was r = 0.53 (P < 0.0001). Correlation between fructosamine and aAG was r = 0.47 (P = 0.016).

conclusionsThe correlations between HbA1c and aAG and between fructosamine and aAG were weaker than expected, and fructosamine was not more accurate than HbA1c.

Indexed as

A1CdiabetesfructosamineglucoseHIV

Identifiers

PMID25520565
PMCPMC4259549
OpenAlexW2058989611

What Socratic holds

Textmetadata
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 Socratic graph.