Evidence map›Paper›PMID 33083270›Full record

ArticleIndian journal of endocrinology and metabolism

Serum CCL 18 Levels in Women with Polycystic Ovarian Syndrome.

Justin Easow Sam, K M Suryanarayana, Mala Dharmalingam, Pramila Kalra, Chitra Selvan

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Justin Easow SamDepartment of Endocrinology, Ramaiah Medical College, Bengaluru, Karnataka, India.
K M SuryanarayanaDepartment of Endocrinology, Ramaiah Medical College, Bengaluru, Karnataka, India.
Mala DharmalingamDepartment of Endocrinology, Ramaiah Medical College, Bengaluru, Karnataka, India.
Pramila KalraDepartment of Endocrinology, Ramaiah Medical College, Bengaluru, Karnataka, India.
Chitra SelvanDepartment of Endocrinology, Ramaiah Medical College, Bengaluru, Karnataka, India.
M.S. Ramaiah Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolycystic ovarian syndrome (PCOS) is one of the most common metabolic disorders seen in women of the reproductive age group, with the majority of them having insulin resistance. There is a need to identify sensitive markers of insulin resistance. CC chemokine ligand 18 (CCL 18) secreted from white adipose tissue is upregulated in individuals with insulin resistance.

objectivesTo study the correlation between serum CCL 18 levels and insulin resistance in PCOS. MATERIALS AND

methodsThis case-control study included 45 PCOS women and an equal number of age and body mass index (BMI) matched controls. Estimation of serum CCL 18, serum testosterone, fasting plasma glucose, fasting insulin, HbA1c, and ultrasonography of abdomen and pelvis was done and HOMA IR was calculated.

resultsSerum CCL 18 level was higher in women with PCOS when compared to controls. The mean level of serum CCL 18 (ng/mL) in the PCOS group and control group was 28.32 ± 4.17 and 11.90 ± 4.91, respectively (

conclusionThere is a significant correlation of serum CCL 18 level with insulin resistance in PCOS subjects and serum CCL levels can be considered as a marker of PCOS.

Indexed as

CCL 18HOMA IRinsulin resistancepolycystic ovarian syndrome

Identifiers

PMID33083270
PMCPMC7539028
OpenAlexW3039681800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.