Evidence map›Paper›PMID 33641233›Full record

Trial reportPharmacology research & perspectives2021

Intervention by clinical pharmacists can improve blood glucose fluctuation in patients with diabetes and acute myocardial infarction: A propensity score-matched analysis.

Fang-Hong Shi, Long Shen, Jiang Yue, Jing Ma, Zhi-Chun Gu, Hao Li, Hou-Wen Lin

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Pharmacology research & perspectives, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Pharmacist-Managed Diabetes Programs: Improving Treatment Adherence and Patient Outcomes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Review
  10. 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 2 institutions in 1 country.

Fang-Hong ShiDepartment of Pharmacy, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0002-1409-7718
Long ShenDepartment of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jiang YueDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Jing MaDepartment of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Zhi-Chun GuDepartment of Pharmacy, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.ORCID 0000-0002-1245-9690
Hao LiDepartment of Pharmacy, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-2832-4851
Hou-Wen LinDepartment of Pharmacy, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Renji Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute phase hyperglycemia and exaggerated glucose fluctuation may be associated with poor outcomes in diabetic patients after acute myocardial infarction (AMI). This study aimed to determine whether intervention by clinical pharmacists can mitigate blood glucose and glucose fluctuations in these fragile patients. This retrospective study enrolled patients with diabetes and AMI, from 1 January 2019 to 30 June 2020 in our institution. Blood glucose and glucose fluctuations were calculated before and after the pharmacist's intervention and between patients who underwent intervention and those who did not. Propensity score matching (PSM) was used to reduce the impact of patient characteristics on the results. A total of 170 patients were included in our primary analysis, including 29 patients who received the pharmacist intervention and 141 patients who did not. After the pharmacist's intervention, blood glucose (fasting blood glucose-FBG, from 11.9 to 9.8; postprandial blood glucose-PBG, from 15.3 to 13.2; mean blood glucose-BG, 14.5 to 12.3 mmol/L; p < .001), and glucose fluctuations (standard deviation of blood glucose-SDBG, from 3.8 to 3.0, mmol/L, p = .005) were significantly improved. Before PSM, no clear effects were found in intervention versus nonintervention patients, in terms of blood glucose and glucose fluctuation indicators, except for FBG (9.3 vs. 8.0. mmol/L, p = .005). Further analysis indicated a high incidence of FBG <7.8 mmol/L in nonintervention versus intervention patients (51.5% vs. 27.6%, p = .003). After PSM, a significant reduction in blood glucose fluctuation (SDBG, 3.0 vs. 4.1, p = .031; PBGE, 2.1 vs. 4.1, p = .017; LAGE, 4.7 vs. 7.2, mmol/L, p = .004), and PBG (11.1 vs. 13.0, mmol/L, p = .048) was observed in the intervention group than in the nonintervention group. The clinical pharmacist intervention contributed to improved outcomes, specifically, in reducing blood glucose fluctuations and potential hypoglycemia risk.

Indexed as

AgedBlood GlucoseDiabetes Mellitus, Type 2FemaleHumansHyperglycemiaHypoglycemic AgentsMaleMedication Therapy ManagementMiddle AgedMyocardial InfarctionPharmacistsPharmacy Service, HospitalProfessional RolePropensity ScoreReferral and ConsultationBlood GlucoseHypoglycemic Agentsblood glucoseclinical pharmacist's interventionconsultationglucose fluctuationpropensity score matching

Identifiers

PMID33641233
PMCPMC7914773
OpenAlexW3135753924

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.