Evidence map›Paper›PMID 33553019›Full record

ArticleJournal of diabetes and metabolic disorders2020

Monocyte lymphocyte ratio As a predictor of Diabetic Kidney Injury in type 2 Diabetes mellitus; The MADKID Study.

Mehmet Zahid Kocak, Gulali Aktas, Tuba Taslamacioglu Duman, Burcin Meryem Atak, Ozge Kurtkulagi, Hikmet Tekce, Satilmis Bilgin, Betül Alaca

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 4 pooled it
4.9field-weighted citation impact, top 4% 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

56 citing papers in PubMed, 4 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Mehmet Zahid KocakDepartment of Internal Medicine, Abant Izzet Baysal University Hospital, Bolu, 14280 Turkey.
Gulali AktasDepartment of Internal Medicine, Abant Izzet Baysal University Hospital, Bolu, 14280 Turkey.
Tuba Taslamacioglu DumanDepartment of Internal Medicine, Abant Izzet Baysal University Hospital, Bolu, 14280 Turkey.
Burcin Meryem AtakDepartment of Internal Medicine, Abant Izzet Baysal University Hospital, Bolu, 14280 Turkey.
Ozge KurtkulagiDepartment of Internal Medicine, Abant Izzet Baysal University Hospital, Bolu, 14280 Turkey.
Hikmet TekceDepartment of Internal Medicine, Abant Izzet Baysal University Hospital, Bolu, 14280 Turkey.
Satilmis BilginDepartment of Internal Medicine, Abant Izzet Baysal University Hospital, Bolu, 14280 Turkey.
Betül AlacaDepartment of Internal Medicine, Abant Izzet Baysal University Hospital, Bolu, 14280 Turkey.
Bolu Abant İzzet Baysal University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsInflammation is a cardinal pathogenetic mechanism in diabetic kidney injury (DKI). The detection of microalbuminuria (MA) is very important in preventing end-stage renal failure in diabetic subjects. A combination of high monocyte and low lymphocyte counts are used as a marker of inflammation. Monocyte to lymphocyte ratio (MLR) is considered as a marker in inflammatory diseases. We aimed to evaluate the MLR levels in diabetic subjects as a predictive marker in detecting MA.

methodsA total of 212 patients with type 2 diabetes mellitus (T2DM) were included in the study. Patients with T2DM were divided into two groups as MA and normoalbuminuria (NA). MLR of the groups were compared.

resultsThere were 72 patients in MA and 140 patients in NA group. MLR of the MA and NA groups were 0.247 (0.131-0.540) and 0.211 (0.052-0.390), respectively (p < 0.001). There was a statistically significant correlation between MLR and MA (r = 0.228, p = 0.001). In multivariate backward logistic regression analysis, MLR, fasting blood glucose, HbA1c and presence of comorbid clinical diseases were determined as independent predictors of DKI.

conclusionsWe suggest that MLR could serve as a predictive and effective marker for DKI in diabetic subjects due to its strong correlation with MA and inexpensive and readily available nature.

Indexed as

Diabetic kidney injuryInflammationMicroalbuminuriaMonocyte lymphocyte ratioType 2 diabetes mellitus, HbA1c

Identifiers

PMID33553019
PMCPMC7843868
OpenAlexW3045915735

What OpenQuestion 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 OpenQuestion graph.