Evidence map›Paper›PMID 35598993›Full record

ArticleInternal medicine (Tokyo, Japan)2022

Metformin-associated Lactic Acidosis with Hypoglycemia during the COVID-19 Pandemic.

Kana Takayama, Yoshinari Obata, Yumiko Maruo, Hiroki Yamaguchi, Motohiro Kosugi, Yoko Irie, Yoji Hazama, Tetsuyuki Yasuda

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2022. 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
1.3field-weighted citation impact, top 19% 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, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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.

Kana TakayamaDepartment of Diabetes, Metabolism and Endocrinology, Osaka Police Hospital, Japan.
Yoshinari ObataDepartment of Diabetes, Metabolism and Endocrinology, Osaka Police Hospital, Japan.
Yumiko MaruoDepartment of Diabetes, Metabolism and Endocrinology, Osaka Police Hospital, Japan.
Hiroki YamaguchiDepartment of Diabetes, Metabolism and Endocrinology, Osaka Police Hospital, Japan.
Motohiro KosugiDepartment of Diabetes, Metabolism and Endocrinology, Osaka Police Hospital, Japan.
Yoko IrieDepartment of Diabetes, Metabolism and Endocrinology, Osaka Police Hospital, Japan.
Yoji HazamaDepartment of Diabetes, Metabolism and Endocrinology, Osaka Police Hospital, Japan.
Tetsuyuki YasudaDepartment of Diabetes, Metabolism and Endocrinology, Osaka Police Hospital, Japan.
Osaka Police Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metformin-associated lactic acidosis (MALA) is an extremely rare but life-threatening adverse effect of metformin treatment. The lifestyle changes associated with the coronavirus disease 2019 (COVID-19) pandemic may increase the potential risk of MALA development in patients with diabetes. We herein report a 64-year-old Japanese man taking a small dose of metformin who presented with MALA accompanied by hypoglycemia secondary to increased alcohol consumption triggered by lifestyle changes during the pandemic. Physicians should prescribe metformin judiciously to prevent MALA development and pay close attention to lifestyle changes in patients at risk for MALA during the COVID-19 pandemic.

Indexed as

Acidosis, LacticCOVID-19Diabetes Mellitus, Type 2HypoglycemiaMetforminHumansHypoglycemic AgentsMaleMiddle AgedPandemicsHypoglycemic AgentsMetforminalcoholCOVID-19hypoglycemialactic acidosismetformin

Identifiers

PMID35598993
PMCPMC9424080
OpenAlexW4282941805

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.