Heart rate variability in type 2 diabetes mellitus: A systematic review and meta–analysis
Open accessAbstract
BACKGROUND: Cardiac autonomic neuropathy in type 2 dibetes mellitus (T2DM) patients is frequent and associated with high cardiovascular mortality. Heart rate variability (HRV) is the gold standard to measure cardiac autonomic neuropathy. We aimed to conduct a systematic review and meta-analysis to evaluate the impact of T2DM on HRV parameters. METHODS: The PubMed, Cochrane Library, Embase and Science Direct databases were searched on 1st October 2017 using the keywords "diabetes" AND ("heart rate variability" OR "HRV"). Included articles had to report HRV parameters in T2DM patients and healthy controls measured during 24 hours with a Holter-electrocardiogram. Measurements of HRV retieved were: RR-intervals (or Normal to Normal intervals-NN), standard deviation of RR intervals (SDNN), percetange of adjacent NN intervals differing by more than 50 milliseconds (pNN50), square root of the mean squared difference of successive RR intervals (RMSSD), total power, Low Frequency (LF), High Frequency (HF) and LF/HF ratio, as per Task Force recommendations. RESULTS: We included twenty-five case-control studies with 2,932 patients: 1,356 with T2DM and 1,576 healthy controls. T2DM patients had significantly (P<0.01) lower RR-intervals (effect size = -0.61; 95%CI -1.21 to -0.01), lower SDNN (-0.65; -0.83 to -0.47), lower RMSSD (-0.92; -1.37 to -0.47), lower pNN50 (-0.46; -0.84 to -0.09), lower total power (-1.52; -2.13 to -0.91), lower LF (-1.08; -1.46 to -0.69]), and lower HF (-0.79; -1.09 to -0.50). LF/HF did not differ between groups. Levels of blood glucose and HbA1c were associated with several HRV parameters, as well as Time from diagnosis of T2DM. CONCLUSIONS: T2DM was associated with an overall decrease in the HRV of T2DM patients. Both sympathetic and parasympathetic activity were decreased, which can be explained by the deleterious effects of altered glucose metabolism on HRV, leading to cardiac autonomic neuropathy.
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TL;DR
This systematic review and meta-analysis found that type 2 diabetes mellitus (T2DM) is associated with an overall decrease in heart rate variability (HRV), with both sympathetic and parasympathetic activity reduced. The authors attribute this to deleterious effects of altered glucose metabolism leading to cardiac autonomic neuropathy.
Key findings
Twenty-five case-control studies with 2,932 patients (1,356 T2DM, 1,576 healthy controls) showed significantly lower HRV in T2DM for RR intervals (effect size = –0.61; 95%CI –1.21 to –0.01), SDNN (–0.65; –0.83 to –0.47), RMSSD (–0.92; –1.37 to –0.47), pNN50 (–0.46; –0.84 to –0.09), total power (–1.52; –2.13 to –0.91), LF (–1.08; –1.46 to –0.69), and HF (–0.79; –1.09 to –0.50). LF/HF did not differ between groups (effect size = 0.02; 95%CI –0.38 to 0.43; P = 0.914). Meta-regressions found age and male gender associated with decreased LF and HF; blood glucose and total cholesterol associated with increased LF and HF; higher HbA1c associated with shorter RR intervals; and time from T2DM diagnosis linked with higher SDNN and lower total power.
Methods
Systematic review and meta-analysis of case-control studies reporting 24-hour Holter-electrocardiogram HRV parameters in T2DM patients and healthy controls, following Task Force recommendations. Databases searched were PubMed, Cochrane Library, Embase, and Science Direct (search date reported as 1 October 2017; text also states between 30 October 2015 and 1 October 2017). Random-effects meta-analyses (DerSimonian and Laird) calculated standardised mean differences, with heterogeneity assessed by I² and meta-regressions for clinically relevant variables; study quality was assessed with STROBE and CONSORT.
Limitations
The paper states that meta-analyses inherit limitations of included studies and are subject to selection bias; included studies varied in quality, most were cross-sectional, measurement conditions differed, and inclusion criteria were not identical. The paper also states that control health status was not detailed in all studies, some studies were monocentric, the final number of patients was not very high, and missing or declarative data were potential biases. Evident from the text: heterogeneity was significant for all meta-analyses (e.g., I² = 91.6% for RR intervals, 94.0% for RMSSD, 93.5% for total power), and many variables (HbA1c, BMI, blood pressure, insulin, HOMA-IR, neuropathy scores) were missing or unreported across studies, limiting meta-regression analyses.
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- Findingown data
In T2DM patients compared with healthy controls, LF was significantly lower (effect size = -1.08; 95% CI -1.46 to -0.69; P < 0.001; I2 = 91.3%).
“lower LF (–1.08; –1.46 to –0.69])”
- Also stated in: § Meta–analyses of HRV values in T2DM · boosted
“lower LF (effect size = –1.08; 95%CI –1.46 to –0.69; p < 0.001; I2 = 91.3%) (Fig 7) [42,45,47–54,57,63,65,66]”
Quote in the paperSubstantial claim - Also stated in: § Meta–analyses of HRV values in T2DM · boosted
- Findingown data
Blood glucose levels were significantly associated with an increase in RMSSD (coefficient = 4.2; 95% CI 1.7-6.6; P = 0.003).
“Blood glucose levels were also significantly associated with an increase in RMSSD (coefficient = 4.2; 95%CI 1.7–6.6, P = 0.003) and with an increase in SDNN (coefficient = 24; 95%CI 17–30, P < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
Body mass index was associated with an increase in HF (coefficient = 0.7; 95% CI 0.3-1.1; P = 0.005).
“Body mass index was associated with both an increase in LF (coefficient = 0.8; 95%CI 0.3–1.3, P = 0.003) and in HF (coefficient = 0.7; 95%CI 0.3–1.1, P = 0.005).”
Quote in the paperNot a substantial claim - Findingown data
Blood glucose levels were associated with an increase in LF (coefficient = 112; 95% CI 31-193; P = 0.015).
“Similarly, both blood glucose levels and total cholesterol were associated with both an increase in LF (coefficient = 112; 95%CI 31–193, P = 0.015; coefficient = 1133; 95%CI 408–1858, P = 0.01; respectively) and in HF (coefficient = 34; 95%CI 6–63, P = 0.024; coefficient = 490; 95%CI 100–879, P = 0.023).”
Quote in the paperNot a substantial claim - Findingown data
LF/HF did not differ between T2DM patients and healthy controls (effect size = 0.02; 95% CI -0.38 to 0.43; P = 0.914; I2 = 90.1%).
“LF/HF did not differ between groups.”
- Also stated in: § Meta–analyses of HRV values in T2DM · plain
“LF/HF did not differ between groups (effect size = 0.02; 95%CI –0.38 to 0.43; P = 0.914; I2 = 90.1%) (Fig 9) [42,44,46–48,50–54,57,65,66]”
Quote in the paperSubstantial claim - Also stated in: § Meta–analyses of HRV values in T2DM · plain
- Findingown data
Total cholesterol was associated with an increase in HF (coefficient = 490; 95% CI 100-879; P = 0.023).
“Similarly, both blood glucose levels and total cholesterol were associated with both an increase in LF (coefficient = 112; 95%CI 31–193, P = 0.015; coefficient = 1133; 95%CI 408–1858, P = 0.01; respectively) and in HF (coefficient = 34; 95%CI 6–63, P = 0.024; coefficient = 490; 95%CI 100–879, P = 0.023).”
Quote in the paperNot a substantial claim - Findingown data
Age was associated with a decrease in HF (coefficient = -0.6; 95% CI -0.9 to -0.3; P < 0.001).
“Age and male gender were associated with both a decrease in LF (coefficient = –0.7; 95%CI –1 to –0.4, P < 0.001; and coefficient = –0.3; 95%CI –0.4 to –0.1, P = 0.006, respectively) and a decrease in HF (coefficient = –0.6; 95%CI –0.9 to –0.3, P < 0.001; and coefficient = –0.3; 95%CI –0.4 to –0.1, P = 0.006).”
Quote in the paperNot a substantial claim - Findingown data
Body mass index was associated with an increase in LF (coefficient = 0.8; 95% CI 0.3-1.3; P = 0.003).
“Body mass index was associated with both an increase in LF (coefficient = 0.8; 95%CI 0.3–1.3, P = 0.003) and in HF (coefficient = 0.7; 95%CI 0.3–1.1, P = 0.005).”
Quote in the paperNot a substantial claim - Findingown data
Time from diagnosis of T2DM was linked with a higher level of SDNN (coefficient = 10; 95% CI 2.1-18; P = 0.018).
“Time from diagnosis of T2DM was linked with a higher level of SDNN (coefficient = 10; 95%CI 2.1–18, P = 0.018) and a lower level of total power (coefficient = –1214; 95%CI –2129 to –299, P = 0.021) (Fig 10).”
Quote in the paperNot a substantial claim - Findingown data
Higher levels of HbA1c were associated with shorter RR intervals (coefficient = -383; 95% CI -756 to -8.8; P = 0.046).
“Higher levels of HbA1c were associated with shorter RR intervals (coefficient = –383; 95%CI –756 to –8.8, P = 0.046).”
Quote in the paperNot a substantial claim - Findingown data
Male gender was associated with a decrease in HF (coefficient = -0.3; 95% CI -0.4 to -0.1; P = 0.006).
“Age and male gender were associated with both a decrease in LF (coefficient = –0.7; 95%CI –1 to –0.4, P < 0.001; and coefficient = –0.3; 95%CI –0.4 to –0.1, P = 0.006, respectively) and a decrease in HF (coefficient = –0.6; 95%CI –0.9 to –0.3, P < 0.001; and coefficient = –0.3; 95%CI –0.4 to –0.1, P = 0.006).”
Quote in the paperNot a substantial claim - Findingown data
In T2DM patients compared with healthy controls, RMSSD was significantly lower (effect size = -0.92; 95% CI -1.37 to -0.47; P < 0.001; I2 = 94.0%).
“lower RMSSD (–0.92; –1.37 to –0.47)”
- Also stated in: § Meta–analyses of HRV values in T2DM · boosted
“lower RMSSD (effect size = –0.92; 95%CI –1.37 to –0.47); P < 0.001; I2 = 94.0%) (Fig 4) [45,47,48,50,52,53,56–58,60–66]”
Quote in the paperSubstantial claim - Also stated in: § Meta–analyses of HRV values in T2DM · boosted
- Findingown data
In T2DM patients compared with healthy controls, RR intervals were significantly lower (effect size = -0.61; 95% CI -1.21 to -0.01; P = 0.01; I2 = 91.6%).
“T2DM patients had significantly (P<0.01) lower RR–intervals (effect size = –0.61; 95%CI –1.21 to –0.01)”
- Also stated in: § Meta–analyses of HRV values in T2DM · boosted
“We noted strong evidence that T2DM patients had significantly lower RR intervals (effect size = –0.61; 95%CI –1.21 to –0.01, P = 0.01; I2 = 91.6%) (Fig 2) [45,46,48,52,54,57]”
Quote in the paperSubstantial claim - Also stated in: § Meta–analyses of HRV values in T2DM · boosted
- Findingown data
In T2DM patients compared with healthy controls, HF was significantly lower (effect size = -0.79; 95% CI -1.09 to -0.50; P < 0.001; I2 = 85.6%).
“lower HF (–0.79; –1.09 to –0.50)”
- Also stated in: § Meta–analyses of HRV values in T2DM · boosted
“lower HF (effect size = –0.79; 95%CI –1.09 to –0.50; P < 0.001; I2 = 85.6%) (Fig 8) [42,44,45,47–54,57,63,65,66]”
Quote in the paperSubstantial claim - Also stated in: § Meta–analyses of HRV values in T2DM · boosted
- Findingown data
Blood glucose levels were associated with an increase in HF (coefficient = 34; 95% CI 6-63; P = 0.024).
“Similarly, both blood glucose levels and total cholesterol were associated with both an increase in LF (coefficient = 112; 95%CI 31–193, P = 0.015; coefficient = 1133; 95%CI 408–1858, P = 0.01; respectively) and in HF (coefficient = 34; 95%CI 6–63, P = 0.024; coefficient = 490; 95%CI 100–879, P = 0.023).”
Quote in the paperNot a substantial claim - Findingown data
An increase in systolic blood pressure was linked with a decrease in HF (coefficient = -3.1; 95% CI -6.2 to -0.02; P = 0.049).
“An increase in systolic blood pressure was linked with shorter RR intervals (coefficient = –380; 95%CI –703 to –53, P = 0.032) and a decrease in HF (coefficient = –3.1; 95%CI –6.2 to –0.02, P = 0.049).”
Quote in the paperNot a substantial claim - Findingown data
Age was associated with a decrease in LF (coefficient = -0.7; 95% CI -1 to -0.4; P < 0.001).
“Age and male gender were associated with both a decrease in LF (coefficient = –0.7; 95%CI –1 to –0.4, P < 0.001; and coefficient = –0.3; 95%CI –0.4 to –0.1, P = 0.006, respectively) and a decrease in HF (coefficient = –0.6; 95%CI –0.9 to –0.3, P < 0.001; and coefficient = –0.3; 95%CI –0.4 to –0.1, P = 0.006).”
Quote in the paperNot a substantial claim - Findingown data
Male gender was associated with a decrease in LF (coefficient = -0.3; 95% CI -0.4 to -0.1; P = 0.006).
“Age and male gender were associated with both a decrease in LF (coefficient = –0.7; 95%CI –1 to –0.4, P < 0.001; and coefficient = –0.3; 95%CI –0.4 to –0.1, P = 0.006, respectively) and a decrease in HF (coefficient = –0.6; 95%CI –0.9 to –0.3, P < 0.001; and coefficient = –0.3; 95%CI –0.4 to –0.1, P = 0.006).”
Quote in the paperNot a substantial claim - Findingown data
In T2DM patients compared with healthy controls, pNN50 was significantly lower (effect size = -0.46; 95% CI -0.84 to -0.09; P = 0.001; I2 = 85.5%).
“lower pNN50 (–0.46; –0.84 to –0.09)”
- Also stated in: § Meta–analyses of HRV values in T2DM · boosted
“lower pNN50 (effect size = –0.46; 95%CI –0.84 to –0.09; P = 0.001; I2 = 85.5%) (Fig 5) [42,48,50–53,58,60,62,65,66]”
Quote in the paperSubstantial claim - Also stated in: § Meta–analyses of HRV values in T2DM · boosted
- Findingown data
Heterogeneity was significant (P < 0.001) for all meta-analyses.
“Heterogeneity was significant (P < 0.001) for all meta–analyses.”
Quote in the paperNot a substantial claim - Findingown data
Blood glucose levels were significantly associated with an increase in SDNN (coefficient = 24; 95% CI 17-30; P < 0.001).
“Blood glucose levels were also significantly associated with an increase in RMSSD (coefficient = 4.2; 95%CI 1.7–6.6, P = 0.003) and with an increase in SDNN (coefficient = 24; 95%CI 17–30, P < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
Total cholesterol was associated with an increase in LF (coefficient = 1133; 95% CI 408-1858; P = 0.01).
“Similarly, both blood glucose levels and total cholesterol were associated with both an increase in LF (coefficient = 112; 95%CI 31–193, P = 0.015; coefficient = 1133; 95%CI 408–1858, P = 0.01; respectively) and in HF (coefficient = 34; 95%CI 6–63, P = 0.024; coefficient = 490; 95%CI 100–879, P = 0.023).”
Quote in the paperNot a substantial claim - Findingown data
Time from diagnosis of T2DM was linked with a lower level of total power (coefficient = -1214; 95% CI -2129 to -299; P = 0.021).
“Time from diagnosis of T2DM was linked with a higher level of SDNN (coefficient = 10; 95%CI 2.1–18, P = 0.018) and a lower level of total power (coefficient = –1214; 95%CI –2129 to –299, P = 0.021) (Fig 10).”
Quote in the paperNot a substantial claim - Findingown data
HDL cholesterol levels were associated with an increase in SDNN (coefficient = 1251; 95% CI 292-2210; P = 0.017).
“HDL cholesterol levels were associated with both an increase in SDNN (coefficient = 1251; 95%CI 292–2210, P = 0.017) and RMSSD (coefficient = 246; 95%CI 186–307, P < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
In T2DM patients compared with healthy controls, SDNN was significantly lower (effect size = -0.65; 95% CI -0.83 to -0.47; P < 0.001; I2 = 65.1%).
“lower SDNN (–0.65; –0.83 to –0.47)”
- Also stated in: § Meta–analyses of HRV values in T2DM · boosted
“lower SDNN (effect size = –0.65; 95%CI –0.83 to –0.47; P < 0.001; I2 = 65.1%) (Fig 3) [42,45,47,48,50–53,55,57,58,60–66]”
Quote in the paperSubstantial claim - Also stated in: § Meta–analyses of HRV values in T2DM · boosted
- Findingown data
In T2DM patients compared with healthy controls, total power was significantly lower (effect size = -1.52; 95% CI -2.13 to -0.91; P < 0.001; I2 = 93.5%).
“lower total power (–1.52; –2.13 to –0.91)”
- Also stated in: § Meta–analyses of HRV values in T2DM · boosted
“lower total power (effect size = –1.52; 95%CI –2.13 to –0.91; P < 0.001; I2 = 93.5%) (Fig 6) [45–48,50,52,54,65,66]”
Quote in the paperSubstantial claim - Also stated in: § Meta–analyses of HRV values in T2DM · boosted
- Findingown data
HDL cholesterol levels were associated with an increase in RMSSD (coefficient = 246; 95% CI 186-307; P < 0.001).
“HDL cholesterol levels were associated with both an increase in SDNN (coefficient = 1251; 95%CI 292–2210, P = 0.017) and RMSSD (coefficient = 246; 95%CI 186–307, P < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
An increase in systolic blood pressure was linked with shorter RR intervals (coefficient = -380; 95% CI -703 to -53; P = 0.032).
“An increase in systolic blood pressure was linked with shorter RR intervals (coefficient = –380; 95%CI –703 to –53, P = 0.032) and a decrease in HF (coefficient = –3.1; 95%CI –6.2 to –0.02, P = 0.049).”
Quote in the paperNot a substantial claim - Findingown data
Total cholesterol was associated with an increase in HF.
“Similarly, total cholesterol was associated with both an increase in LF and HF, and HDL was associated with an increase in SDNN and RMSSD.”
Quote in the paperNot a substantial claim - Findingcitation
HF decreases with male gender.
“Finally, in line with the literature, we demonstrated a decrease in both LF and HF with age [95] and the male gender [96].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [96] P Pavithran, 2008, Sex differences in short-term heart rate variability in patients with newly diagnosed essential hypertension, J Clin Hypertens Greenwich Conn source
Not checked in the free run.
- Findingown data
HDL was associated with an increase in SDNN.
“Similarly, total cholesterol was associated with both an increase in LF and HF, and HDL was associated with an increase in SDNN and RMSSD.”
Quote in the paperNot a substantial claim - Findingown data
HRV is overall decreased in T2DM patients compared with controls.
“We demonstrated that all parameters measuring HRV were significantly decreased in T2DM compared with controls.”
- Also stated in: § Conclusion · boosted
“We reported strong evidence for an overall decrease in HRV in T2DM patients.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · boosted
- Findingown data
An increase in systolic blood pressure was linked with a decrease in HF.
“We demonstrated that an increase in systolic blood pressure was linked with shorter RR intervals and a decrease in HF.”
Quote in the paperNot a substantial claim - Findingown data
An increase in systolic blood pressure was linked with shorter RR intervals.
“We demonstrated that an increase in systolic blood pressure was linked with shorter RR intervals and a decrease in HF.”
Quote in the paperNot a substantial claim - Findingown data
HDL was associated with an increase in RMSSD.
“Similarly, total cholesterol was associated with both an increase in LF and HF, and HDL was associated with an increase in SDNN and RMSSD.”
Quote in the paperNot a substantial claim - Findingown data
Total cholesterol was associated with an increase in LF.
“Similarly, total cholesterol was associated with both an increase in LF and HF, and HDL was associated with an increase in SDNN and RMSSD.”
Quote in the paperNot a substantial claim - Findingcitation
HF decreases with age.
“Finally, in line with the literature, we demonstrated a decrease in both LF and HF with age [95] and the male gender [96].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [95] M Reardon, 1996, Changes in heart rate variability with age, Pacing Clin Electrophysiol PACE source
Not checked in the free run.
- Findingown data
BMI was significantly related to HRV.
“Moreover, we found a significant relationship between BMI and HRV.”
Quote in the paperNot a substantial claim - Findingcitation
LF decreases with age.
“Finally, in line with the literature, we demonstrated a decrease in both LF and HF with age [95] and the male gender [96].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [95] M Reardon, 1996, Changes in heart rate variability with age, Pacing Clin Electrophysiol PACE source
Not checked in the free run.
- Findingown data
Meta-regressions demonstrated significant relationships between HRV parameters and variables linked with T2DM.
“Despite missing data, our meta–regressions demonstrated significant and interesting relationships, particularly between HRV parameters and variables linked with T2DM.”
Quote in the paperNot a substantial claim - Interpretationown data
Age and male gender were associated with both a decrease in sympathetic and parasympathetic activity.
“Finally, age and the male gender were associated with both a decrease in sympathetic and parasympathetic activity.”
Quote in the paperNot a substantial claim - Interpretationown data
The significant relationship between altered glucose metabolism and HRV may explain the deleterious general metabolic effects on both parasympathetic and sympathetic activity.
“The significant relationship between altered glucose metabolism and HRV may explain the deleterious general metabolic effects on both parasympathetic and sympathetic activity.”
Quote in the paperNot a substantial claim - Study design and conductown data
Meta-analyses reperformed after exclusion of studies that were not evenly distributed around the base of the funnel showed similar results.
“Meta–analyses were reperformed after the exclusion of studies that were not evenly distributed around the base of the funnel and showed similar results.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The decrease in both sympathetic and parasympathetic activity in T2DM can be explained by the deleterious effects of altered glucose metabolism on HRV, leading to cardiac autonomic neuropathy.
“Both sympathetic and parasympathetic activity were decreased, which can be explained by the deleterious effects of altered glucose metabolism on HRV, leading to cardiac autonomic neuropathy.”
- Also stated in: § An alteration of both sympathetic and parasympathetic activity · hedged
“An explanation could be that T2DM is a metabolic disease responsible for a cardiac autonomic neuropathy that affects both sympathetic and parasympathetic fibers.”
Quote in the paperSubstantial claim - Also stated in: § An alteration of both sympathetic and parasympathetic activity · hedged
- Interpretationown data
T2DM was associated with an overall decrease in HRV in T2DM patients.
“T2DM was associated with an overall decrease in the HRV of T2DM patients.”
- Also stated in: § Discussion · boosted
“The main findings were that T2DM patients exhibited a strong decrease in HRV.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · boosted
- Interpretationreasoning
Blood glucose levels are not a good marker to evaluate diabetes control compared with HbA1c.
“Another explanation of this relation that could appear contradictory is that blood glucose levels are not a good marker to evaluate diabetes control compared with HbA1c: blood glucose levels reflect an instantaneous level whereas HbA1c reflect diabetes control over the previous months.”
Quote in the paperSubstantial claim - Premisecitation
Conflicting results have been reported on the evaluation of HRV in T2DM.
“Although the evaluation of HRV in T2DM has been assessed in several studies, conflicting results have been reported [20–22].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [20] JD Solanki, Comparative study of cardiac autonomic status by heart rate variability between under-treatment normotensive and hypertensive known type 2 diabetics, Indian Heart J
Not checked in the free run.
- cites [21] MB Lotric, 2000, Spectral components of heart rate variability determined by wavelet analysis, Physiol Meas source
Not checked in the free run.
- cites [22] B Roy, 2013, Nonlinear methods to assess changes in heart rate variability in type 2 diabetic patients, Arq Bras Cardiol
Not checked in the free run.
- Premisecitation
Low HRV is a marker of cardiovascular risk.
“Therefore, low HRV is a marker of cardiovascular risk [18].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] G Boudet, 2017, Paradoxical dissociation between heart rate and heart rate variability following different modalities of exercise in individuals with metabolic syndrome: The RESOLVE study, Eur J Prev Cardiol source
Not checked in the free run.
- Study design and conductreasoning
Measurement conditions for HRV parameters differed across included studies.
“Indeed, most of the studies included were cross–sectional, with different measurement conditions for HRV parameters associated with a high inter and intra–individual variability.”
Quote in the paperNot a substantial claim - Study design and conductnone given
Some included studies were monocentric.
“In addition, some studies were monocentric, limiting the generalizability of our results.”
Quote in the paperNot a substantial claim - Premisecitation
HRV is linked with the severity of T2DM.
“Furthermore, despite HRV being linked with the severity of T2DM [23], no studies have comprehensively assessed the role of the most common variables, such as age [24], gender [25], blood glucose control [26], or medications treating for T2DM, on HRV parameters [27,28].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] J Gerritsen, 2001, Impaired autonomic function is associated with increased mortality, especially in subjects with diabetes, hypertension, or a history of cardiovascular disease the Hoorn study, Diabetes Care source
Not checked in the free run.
- Study design and conductnone given
The health status of controls was not detailed in all studies.
“Moreover, the health status of controls was not detailed in all studies, which could have influenced HRV parameters.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The lack of detail on control health status may have minimized the differences in HRV between T2DM patients and controls.
“This may have also minimized the differences in HRV between T2DM patients and controls.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The lack of detail on control health status could have influenced HRV parameters.
“Moreover, the health status of controls was not detailed in all studies, which could have influenced HRV parameters.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Age and gender have a minor role on HRV parameters compared with the variables linked to T2DM.
“However, age and gender have a minor role on HRV parameters compared with the variables linked to T2DM.”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The quality of included studies varied despite rigorous inclusion criteria.
“Despite our rigorous criteria for including studies in our meta–analysis, their quality varied.”
Quote in the paperNot a substantial claim - Interpretationown data
The final number of patients may preclude generalizability.
“Similarly, the final number of patients included in the metaanalysis was not very high and may precluded generalizability, however the mean age could be considered as quite representative.”
Quote in the paperNot a substantial claim - Premisecitation
No studies have comprehensively assessed the role of the most common variables, such as age, gender, blood glucose control, or medications treating for T2DM, on HRV parameters.
“Furthermore, despite HRV being linked with the severity of T2DM [23], no studies have comprehensively assessed the role of the most common variables, such as age [24], gender [25], blood glucose control [26], or medications treating for T2DM, on HRV parameters [27,28].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [27] Kilit C, Demir S, Pasali Kilit T, Melek M. The effects of metformin and rosiglitazone on heart rate variability in type 2 diabetes mellitus. Int Soc Electrocardiol Annu Meet—Istanb 200734th Int Congr Electrocardiol. 2007;40: S40–S41. source
Not checked in the free run.
- cites [28] P Kumarathurai, 2016, Effects of Liraglutide on Heart Rate and Heart Rate Variability: A Randomized, Double-Blind, Placebo-Controlled Crossover Study, Diabetes Care
Not checked in the free run.
- Study design and conductown data
Most included studies were cross-sectional.
“Indeed, most of the studies included were cross–sectional, with different measurement conditions for HRV parameters associated with a high inter and intra–individual variability.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The monocentric nature of some studies limits the generalizability of the results.
“In addition, some studies were monocentric, limiting the generalizability of our results.”
Quote in the paperNot a substantial claim - Study design and conductown data
Included studies were homogeneous according to funnel plots.
“However, included studies were homogeneous according to funnel plots, and the populations investigated in the meta–analysis appeared to be equally distributed around the world.”
Quote in the paperNot a substantial claim
- May combine two claims. 9
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 11
May combine two claims.
FindingreasoningBoth sympathetic and parasympathetic activity were decreased in T2DM patients.
“Both sympathetic and parasympathetic activity were decreased, which can be explained by the deleterious effects of altered glucose metabolism on HRV.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
FindingcitationLF decreases with male gender.
“Finally, in line with the literature, we demonstrated a decrease in both LF and HF with age [95] and the male gender [96].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [96] P Pavithran, 2008, Sex differences in short-term heart rate variability in patients with newly diagnosed essential hypertension, J Clin Hypertens Greenwich Conn source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRMSSD and pNN50 are associated with high-frequency power (HF) and hence parasympathetic activity, whereas SDNN is correlated with low-frequency power (LF).
“The RMSSD and pNN50 are associated with high–frequency power (HF) and hence parasympathetic activity, whereas SDNN is correlated with low–frequency power (LF) [33].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] H Otzenberger, 1998, Dynamic heart rate variability: a tool for exploring sympathovagal balance continuously during sleep in men, Am J Physiol
Not checked in the free run.
May combine two claims.
Interpretationown dataT2DM has a negative influence on almost all HRV parameters, reflecting that diabetes leads to a cardiac autonomic dysfunction.
“With the exception of the LF/HF ratio, which did not differ in our meta–analysis due to comparable changes in the LF and HF components, T2DM has a negative influence on almost all HRV parameters, reflecting the fact that diabetes leads to a cardiac autonomic dysfunction.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningIn T2DM patients, both sympathetic and parasympathetic activity were decreased compared with non-T2DM patients.
“Both sympathetic and parasympathetic activity were decreased, which can be explained by the deleterious effects of altered glucose metabolism on HRV, leading to cardiac autonomic neuropathy.”
- Also stated in: § An alteration of both sympathetic and parasympathetic activity · boosted
“However, we demonstrated that T2DM patients had a decrease in both parasympathetic and sympathetic activity.”
Quote in the paperSubstantial claim- Also stated in: § An alteration of both sympathetic and parasympathetic activity · boosted
May combine two claims.
InterpretationcitationThe metaregression finding that time from diagnosis of T2DM was linked with higher SDNN is not contradictory to the decreased SDNN in T2DM but may simply highlight that cardiac parasympathetic activity in T2DM is affected before sympathetic activity.
“Despite we demonstrated a decreased SDNN in T2DM patients, the metaregression is not contradictory but may simply highlights the fact that cardiac parasympathetic activity in T2DM is affected before sympathetic activity [80].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [80] RK Goit, 2012, Cardiovascular autonomic function and vibration perception threshold in type 2 diabetes mellitus, J Diabetes Complications source
Not checked in the free run.
May combine two claims.
Interpretationown dataDyslipidaemia and high blood pressure are linked with a decreased HRV in T2DM.
“Dyslipdaemia and high blood pressure are linked with a decreased HRV in T2DM.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataTwo authors reviewed the abstracts independently and checked whether articles could be included according to inclusion criteria; when consensus was not reached, a third author reviewed the debated articles.
“Two authors (Thomas Benichou and Frédéric Dutheil) reviewed the abstracts independently and checked if article could be included in our metanalaysis according to inclusion critera. When consensus on suitability was not reached, a third author (Bruno Pereira) reviewed the debated articles.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe final number of patients included in the meta-analysis was not very high.
“Similarly, the final number of patients included in the metaanalysis was not very high and may precluded generalizability, however the mean age could be considered as quite representative.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataFor the observational studies, STROBE scores varied from 50% to 71%, with a mean score of 59%.
“Results varied from 50% [59] to 71% [56] for the observational studies (STROBE), with a mean score of 59%.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe populations investigated in the meta-analysis appeared to be equally distributed around the world.
“However, included studies were homogeneous according to funnel plots, and the populations investigated in the meta–analysis appeared to be equally distributed around the world.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningThe decrease in sympathetic and parasympathetic activity can be explained by the deleterious effects of altered glucose metabolism on HRV.
“Both sympathetic and parasympathetic activity were decreased, which can be explained by the deleterious effects of altered glucose metabolism on HRV.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Study design and conductnone givenThe mean age of included patients could be considered quite representative.
“Similarly, the final number of patients included in the metaanalysis was not very high and may precluded generalizability, however the mean age could be considered as quite representative.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe use of broader keywords in the search strategy limits the number of missing studies.
“However, the use of broader keywords in the search strategy limits the number of missing studies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenInclusion criteria of participants were similar but not identical across studies.
“Though there were similarities between the participants’ inclusion criteria, they were not identical.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataFor the randomized trials, CONSORT scores varied from 52% to 67%, with a mean score of 59.5%.
“Results varied from 52% [59] to 67% [57] for the randomized trials (CONSORT), with a mean score of 59.5%.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe quality of the twenty-five included studies was assessed using the STROBE and CONSORT criteria.
“The assessment of the quality of the twenty–five studies that were included was performed using the STROBE and CONSORT criteria.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataPotential publication bias was assessed using funnel plots of the meta-analyses.
“We searched for potential publication bias using funnel plots of these meta–analyses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenVariables retrieved from declarative data in each study are a putative bias.
“Variables retrieved from declarative data in each study included are also a putative bias.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
HRV is the gold standard to measure cardiac autonomic neuropathy.
“Heart rate variability (HRV) is the gold standard to measure cardiac autonomic neuropathy.”
The paper relies on this without support.
HRV parameters are associated with high inter- and intra-individual variability.
“with different measurement conditions for HRV parameters associated with a high inter and intra–individual variability.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Both diabetes mellitus and prediabetes are independently associated with lower heart rate variability (HRV).
“Both DM and prediabetes are independently associated with lower heart rate variability (HRV), which suggests that cardiac autonomic dysfunction may be characteristic of prediabetes2–5.”
From Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis (2026) · cites this paper as [3]
The Discussion and Conclusion report substantially lower HRV in patients with type 2 diabetes than in those without it. Our copy does not report a corresponding finding for prediabetes or establish that both associations are independent (searched: “prediabetes” and “independent association”). (LLM, conf=0.87)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Study designs described as both prospective cohorts and mostly cross-sectional
MajorThe study-design section describes all but one study as prospective cohorts, while the limitations section says most included studies were cross-sectional.
“All studies described a prospective cohort design, except one study which was a randomly controlled prospective study [57].”
“Indeed, most of the studies included were cross–sectional, with different measurement conditions for HRV parameters associated with a high inter and intra–individual variability.”
LF/HF was not significantly decreased
MinorThe limitations section says all measured HRV parameters were significantly decreased, whereas the results explicitly say the LF/HF ratio did not differ between groups.
“We demonstrated that all parameters measuring HRV were significantly decreased in T2DM compared with controls.”
“LF/HF did not differ between groups (effect size = 0.02; 95%CI –0.38 to 0.43; P = 0.914; I2 = 90.1%)”
Randomized-trial quality range includes a study not identified as randomized
MinorThe quality assessment gives a randomized-trial score for study [59], but the study-design section identifies [57] as the sole randomized study.
“Results varied from 52% [59] to 67% [57] for the randomized trials (CONSORT), with a mean score of 59.5%.”
“All studies described a prospective cohort design, except one study which was a randomly controlled prospective study [57].”
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Paging Dr Cohen, Paging Dr Cohen…An effect size interpretation is required STAT!
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- Authors
- Benichou, T., Pereira, B., Mermillod, M., Tauveron, I., Pfabigan, D., Maqdasy, S., & Dutheil, F.
- Affiliations
- Centre Hospitalier Universitaire de Clermont-Ferrand (FR)
- Centre National de la Recherche Scientifique (FR)
- Peking University (CN)
- Corresponding author
- Dutheil, Frédéric
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2018-04-02
- Volume
- 13
- Issue
- 4
- Pages
- e0195166
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5880391
- OpenAlex
- W2888208815
- Cited by
- 419
- References
- 101
- Citations by year
- 2026: 43 · 2025: 63 · 2024: 72 · 2023: 59 · 2022: 66 · 2021: 54 · 2020: 33 · 2019: 23 · 2018: 5
- FWCI
- 5.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 2 diabetes, heart rate variability, cardiac autonomic neuropathy, autonomic dysfunction, sympathetic activity, parasympathetic activity, blood glucose, HbA1c, cardiovascular mortality, Holter electrocardiogram, RR interval, spectral analysis of HRV, autonomic reinnervation
- MeSH terms
- Adult, Aged, Diabetes Mellitus, Type 2, Female, Heart Rate, Humans, Male, Middle Aged, Regression Analysis, Risk Factors, Body Mass Index, Case-Control Studies
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