Evidence map›Paper›PMID 31907741›Full record

SynthesisJournal of medical toxicology : official journal of the American College of Medical Toxicology2020

Do Patients Die with or from Metformin-Associated Lactic Acidosis (MALA)? Systematic Review and Meta-analysis of pH and Lactate as Predictors of Mortality in MALA.

Adam Blumenberg, Roshanak Benabbas, Richard Sinert, Amy Jeng, Sage W Wiener

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  10. Review
  11. Article
  12. Observational
  13. The Effect of Residual Confoundingon Mortality in Metformin-Associated Lactic Acidosis.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2020
    Article
  14. In Reply: More Questions than Answers in Metformin-Associated Lactic Acidosis (MALA).Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Adam BlumenbergDepartment of Emergency Medicine, Kings County Hospital, Brooklyn, NY, USA. adamblumenbergmd@gmail.com.ORCID 0000-0001-6714-6213
Roshanak BenabbasDepartment of Emergency Medicine, Kings County Hospital, Brooklyn, NY, USA.
Richard SinertDepartment of Emergency Medicine, Kings County Hospital, Brooklyn, NY, USA.
Amy JengDepartment of Emergency Medicine, Kings County Hospital, Brooklyn, NY, USA.
Sage W WienerDepartment of Emergency Medicine, Kings County Hospital, Brooklyn, NY, USA.
State University of New York · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMetformin-associated lactic acidosis (MALA) may occur after acute metformin overdose, or from therapeutic use in patients with renal compromise. The mortality is high, historically 50% and more recently 25%. In many disease states, lactate concentration is strongly associated with mortality. The aim of this systematic review and meta-analysis is to investigate the utility of pH and lactate concentration in predicting mortality in patients with MALA.

methodsWe searched PubMed, EMBASE, and Web of Science from their inception to April 2019 for case reports, case series, prospective, and retrospective studies investigating mortality in patients with MALA. Cases and studies were reviewed by all authors and included if they reported data on pH, lactate, and outcome. Where necessary, authors of studies were contacted for patient-level data. Receiver operating characteristic (ROC) curves were generated for pH and lactate for predicting mortality in patients with MALA.

resultsForty-four studies were included encompassing 170 cases of MALA with median age of 68.5 years old. Median pH and lactate were 7.02 mmol/L and 14.45 mmol/L, respectively. Overall mortality was 36.2% (95% CI 29.6-43.94). Neither lactate nor pH was a good predictor of mortality among patients with MALA. The area under the ROC curve for lactate and pH were 0.59 (0.51-0.68) and 0.43 (0.34-0.52), respectively.

conclusionOur review found higher mortality from MALA than seen in recent studies. This may be due to variation in standard medical practice both geographically and across the study interval, sample size, misidentification of MALA for another disease process and vice versa, confounding by selection and reporting biases, and treatment intensity (e.g., hemodialysis) influenced by degree of pH and lactate derangement. The ROC curves showed poor predictive power of either lactate or pH for mortality in MALA. With the exception of patients with acute metformin overdose, patients with MALA usually have coexisting precipitating illnesses such as sepsis or renal failure, though lactate from MALA is generally higher than would be considered survivable for those disease states on their own. It is possible that mortality is more related to that coexisting illness than MALA itself, and many patients die with MALA rather than from MALA. Additional work looking solely at MALA in healthy patients with acute metformin overdose may show a closer relationship between lactate, pH, and mortality.

Indexed as

Acid-Base EquilibriumAcidosis, LacticAgedBiomarkersFemaleHumansHydrogen-Ion ConcentrationHypoglycemic AgentsLactic AcidMaleMetforminMiddle AgedPrognosisRisk AssessmentRisk FactorsBiomarkersHypoglycemic AgentsLactic AcidMetforminLactateLactic acidosisMetforminMortalitySurvival

Identifiers

PMID31907741
PMCPMC7099117
OpenAlexW2997047544

What OpenQuestion holds

Textmetadata
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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.