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Chapter 5 What Randomised Trials in People Show

The previous chapters dealt mostly with mechanisms: what ketones and fasting can do in test tubes, cells, isolated organs and mice. This chapter turns to the more important question: in people, under strict randomised control, what have they done, and what have they not done?

Where the evidence is strongest: drug-resistant epilepsy

The ketogenic diet has been used to treat epilepsy for a century, and this is its best-supported use.

Evidence

Neal and colleagues ran a randomised controlled trial in the United Kingdom with 145 children aged 2–16 who had at least daily seizures despite at least two antiepileptic drugs, randomised to start a ketogenic diet at once or after three months. At three months, 38 % of children in the diet group had more than halved their seizures, against 6 % of controls (Neal et al. 2008).

This use is a medical treatment carried out under close supervision by hospital dietitians and neurologists, with dedicated protocols for the composition of the diet, how it is started and how it is monitored; it is not the same thing as a “ketogenic diet” tried at home.

Type 2 diabetes

Evidence

Goldenberg and colleagues reviewed and meta-analysed randomised trials of low-carbohydrate diets in type 2 diabetes and found higher rates of diabetes remission at six months (defined by criteria such as glycated haemoglobin below 6.5 %) and more weight loss, but by twelve months most benefits had faded, and the quality of evidence was mixed (Goldenberg et al. 2021).

For people with diabetes on glucose-lowering drugs, any change of diet must be made together with a doctor adjusting the medication; cutting carbohydrate sharply without adjusting insulin or sulfonylureas can cause hypoglycaemia, and people on SGLT2 inhibitors risk ketoacidosis (see Chapter 1).

Weight: the insulin model and the energy-balance model

Two opposing frameworks explain obesity. The carbohydrate–insulin model holds that a high-carbohydrate diet raises insulin, which directs energy into storage in adipose tissue and so increases hunger and intake; cutting carbohydrate and insulin can promote fat loss even at the same calories (Ludwig and Ebbeling 2018). The energy-balance model holds that changes in body fat depend mainly on the difference between energy intake and expenditure, and that diet composition acts mainly through its effect on intake.

The two models can be compared directly in metabolic-ward studies with calories and protein strictly matched.

Evidence

A metabolic-ward study. Hall and colleagues housed 17 men with overweight or obesity on a metabolic ward, first on a high-carbohydrate baseline diet for four weeks and then on an isocaloric ketogenic diet with the same protein for four weeks. On the ketogenic diet, insulin fell clearly and daily energy expenditure measured in respiratory chambers rose by about 57 kcal (the doubly labelled water estimate was larger and less certain); yet the loss of body fat slowed, contrary to the insulin model’s prediction (Hall et al. 2016). Hall and Guo meta-analysed controlled-feeding studies with matched calories and found energy expenditure and fat loss slightly greater on lower-fat diets than on lower-carbohydrate diets, the differences being small (Hall and Guo 2017).

Evidence

Eating freely. In another inpatient crossover study by Hall and colleagues, 20 adults ate as much as they wanted for two weeks each of a plant-based low-fat diet and an animal-based ketogenic diet; daily energy intake was about 690 kcal lower on the low-fat diet, while insulin was lower on the ketogenic diet (Hall et al. 2021).

Calculation

Putting two studies in proportion: what would a sustained rise of about 57 kcal a day in energy expenditure, as in the metabolic ward, mean for body fat? And what does the confidence interval for the weight difference in the time-restricted eating trial of Liu and colleagues tell us?

# Putting two well-controlled trials in proportion.
# (1) Hall et al. (2016): 17 men in metabolic chambers, a high-carbohydrate baseline diet, then an
#     isocaloric ketogenic diet. Daily energy expenditure rose by about 57 kcal/day in the
#     respiratory chamber (doubly labelled water gave a larger, less certain estimate, ~151 kcal/day).
#     What would a sustained 57 kcal/day mean for body fat? Two ways to compute it:
#     static: 7,700 kcal per kg of fat, no adaptation (overstates long-run change);
#     dynamic: Hall et al. (2011): eventual weight change ~ 1 kg per ~22-24 kcal/day (100 kJ/day per kg,
#     or 10 kcal/day per lb) of sustained
#     imbalance, approached with a time constant of roughly a year (half after ~1 year).
import math
for dE, label in ((57, "chamber estimate"), (151, "doubly labelled water estimate")):
    static_1y = dE * 365 / 7700
    final = dE / 22
    tau_years = 1 / math.log(2)                     # half the eventual change after one year
    dyn_1y = final * (1 - math.exp(-1 / tau_years))
    print(f"{dE:3d} kcal/day ({label}): static rule {static_1y:.1f} kg in a year;"
          f" dynamic {dyn_1y:.1f} kg in a year, {final:.1f} kg eventually")
# (2) Liu et al. (2022, NEJM): 139 adults with obesity, 12 months, calorie restriction with
#     time-restricted eating (08:00-16:00) versus the same calorie restriction alone.
#     Reported difference in weight change: -1.8 kg (95% CI -4.0 to 0.4).
d, lo, hi = -1.8, -4.0, 0.4
se = (hi - lo) / (2 * 1.96)
z = d / se
p = 2 * (1 - 0.5 * (1 + math.erf(abs(z) / math.sqrt(2))))
print(f"Liu 2022: difference {d} kg, SE {se:.2f}, z = {z:.2f}, two-sided p ~ {p:.2f}:"
      " no clear added effect of the eating window once calories are matched")
#  57 kcal/day (chamber estimate): static rule 2.7 kg in a year; dynamic 1.3 kg in a year, 2.6 kg eventually
# 151 kcal/day (doubly labelled water estimate): static rule 7.2 kg in a year; dynamic 3.4 kg in a year, 6.9 kg eventually
# Liu 2022: difference -1.8 kg, SE 1.12, z = -1.60, two-sided p ~ 0.11: no clear added effect of the eating window once calories are matched

The first part shows that a difference of 57 kcal a day, even if sustained, corresponds by a dynamic model allowing for metabolic adaptation to only about 1.3 kg in a year, and that only on the assumption that the difference persists (Hall et al. 2011). This is not negligible, but far smaller than the popular claim of “much more fat loss on the same calories”. The second part is the 12-month randomised trial of Liu and colleagues in Guangzhou: 139 adults with obesity all restricted calories, one group confining eating to 8:00–16:00 and the other eating at any time. The difference in weight between groups was −1.8 kg, with a 95 % confidence interval from −4.0 to 0.4, crossing zero (Liu et al. 2022). In other words, with calories matched, the eating window itself showed no clear additional weight loss.

Evidence

Time-restricted eating without calorie restriction. In the randomised trial of Lowe and colleagues, 116 adults with overweight or obesity followed 16:8 time-restricted eating for 12 weeks without other calorie restriction; weight did not differ significantly from a three-meal control group, and lean mass fell slightly more with time-restricted eating (Lowe et al. 2020). Early time-restricted eating with calories matched. Sutton and colleagues ran a tightly controlled crossover trial in 8 men with prediabetes: both schedules provided exactly the same food and body weight was held constant; after five weeks of early time-restricted eating (a 6-hour window ending by 3 pm), insulin sensitivity, blood pressure and markers of oxidative stress improved (Sutton et al. 2018). The study was very small, but it suggests that the timing of eating may affect metabolic markers without any change in weight, which is the question the trial in Chapter 8 is designed to test.

A risk not to ignore: LDL cholesterol

Evidence

Mansoor and colleagues meta-analysed randomised trials of low-carbohydrate against low-fat diets and found that low-carbohydrate diets lowered triglycerides more and raised HDL cholesterol more, but also raised LDL cholesterol (LDL-C) more (Mansoor et al. 2016). Individually, the LDL-C response to a ketogenic diet high in saturated fat varies enormously, and a minority of people show large rises.

LDL-C and apolipoprotein B are among the causal risk factors for atherosclerotic cardiovascular disease. Anyone planning to follow a low-carbohydrate or ketogenic diet for the long term should check blood lipids, including LDL-C and apolipoprotein B, with a doctor before starting and some weeks after, rather than watching only weight or blood ketones.

Note

This chapter sets no weight target. The weight figures cited here only show the size of research findings; they are nobody’s target. A change in weight is not a change in health, and pursuing weight loss can itself do harm, especially for people at risk of eating disorders.

Summary

A ketogenic diet for drug-resistant childhood epilepsy is supported by reliable randomised evidence; in type 2 diabetes it brings short-term benefits that fade over time, and medication must be adjusted under a doctor’s guidance. In studies with strictly matched calories and protein, a ketogenic diet did not produce the extra fat loss the insulin model predicts; with calories matched, time-restricted eating showed no clear additional weight loss, though early time-restricted eating may improve some metabolic markers without any change in weight. A ketogenic diet can raise LDL-C markedly in some people. The next chapter takes up a more everyday question: why do many people feel tired, palpitations or cramps in the first days of a low-carbohydrate diet?

References

Goldenberg, Joshua Z., Andrew Day, Grant D. Brinkworth, et al. 2021. “Efficacy and Safety of Low and Very Low Carbohydrate Diets for Type 2 Diabetes Remission: Systematic Review and Meta-Analysis of Published and Unpublished Randomized Trial Data.” BMJ 372: m4743.
Hall, Kevin D., Kong Y. Chen, Juen Guo, et al. 2016. “Energy Expenditure and Body Composition Changes After an Isocaloric Ketogenic Diet in Overweight and Obese Men.” American Journal of Clinical Nutrition 104 (2): 324–33.
Hall, Kevin D., and Juen Guo. 2017. “Obesity Energetics: Body Weight Regulation and the Effects of Diet Composition.” Gastroenterology 152 (7): 1718–27.
Hall, Kevin D., Juen Guo, Amber B. Courville, et al. 2021. “Effect of a Plant-Based, Low-Fat Diet Versus an Animal-Based, Ketogenic Diet on Ad Libitum Energy Intake.” Nature Medicine 27 (2): 344–53.
Hall, Kevin D., Gary Sacks, Dhruva Chandramohan, et al. 2011. “Quantification of the Effect of Energy Imbalance on Bodyweight.” The Lancet 378 (9793): 826–37.
Liu, Deying, Yan Huang, Chensihan Huang, et al. 2022. “Calorie Restriction with or Without Time-Restricted Eating in Weight Loss.” New England Journal of Medicine 386 (16): 1495–504.
Lowe, Dylan A., Nancy Wu, Linnea Rohdin-Bibby, et al. 2020. “Effects of Time-Restricted Eating on Weight Loss and Other Metabolic Parameters in Women and Men with Overweight and Obesity: The TREAT Randomized Clinical Trial.” JAMA Internal Medicine 180 (11): 1491–99.
Ludwig, David S., and Cara B. Ebbeling. 2018. “The Carbohydrate-Insulin Model of Obesity: Beyond ‘Calories in, Calories Out’.” JAMA Internal Medicine 178 (8): 1098–103.
Mansoor, Nadia, Kathrine J. Vinknes, Marit B. Veierød, and Kjetil Retterstøl. 2016. “Effects of Low-Carbohydrate Diets v. Low-Fat Diets on Body Weight and Cardiovascular Risk Factors: A Meta-Analysis of Randomised Controlled Trials.” British Journal of Nutrition 115 (3): 466–79.
Neal, Elizabeth G., Hannah Chaffe, Ruby H. Schwartz, et al. 2008. “The Ketogenic Diet for the Treatment of Childhood Epilepsy: A Randomised Controlled Trial.” The Lancet Neurology 7 (6): 500–506.
Sutton, Elizabeth F., Robbie Beyl, Kate S. Early, William T. Cefalu, Eric Ravussin, and Courtney M. Peterson. 2018. “Early Time-Restricted Feeding Improves Insulin Sensitivity, Blood Pressure, and Oxidative Stress Even Without Weight Loss in Men with Prediabetes.” Cell Metabolism 27 (6): 1212–21.

Fan, Y. (2026). Ketone Metabolism, β-Hydroxybutyrate Signalling and the Bioenergetics of Intermittent Fasting: From the Randle Cycle and Epigenetic Inhibition to Autophagy Kinetics, Read Beside Classical Chinese Fasting Texts [酮体代谢、β-羟丁酸信号转导与间歇性禁食的生物能量学] (Version 1.0.0). 5D Library. https://doi.org/10.5281/zenodo.23753263 · Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).