Examiner Hot-Seat Flashcards

(15 cards)

1
Q

Why did the authors choose a prospective cohort instead of an RCT?

A

An RCT of 25 K+ diabetics for 10 y is ethically, logistically, and financially impossible; a well-phenotyped cohort still captures incident CVD while allowing real-world diet variation.

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2
Q

How was dietary mis-reporting minimised?

A

Five repeated 24-h Oxford WebQ recalls (2009-2012) were averaged; extreme energy intakes were excluded and diet validity of WebQ is biomarker-validated.

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3
Q

Why exclude events in the first 2 years during sensitivity analyses?

A

To cut reverse-causation—people might change diet due to pre-existing, undiagnosed CVD symptoms. Results were unchanged, supporting causality.

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4
Q

Overall PDI showed no effect—interpret that.

A

Quantity of plant food alone isn’t enough; the risk signal is driven by quality. Mixing healthy and ultra-processed plants in one score diluted associations.

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5
Q

Name two key dietary mediators of the uPDI–CVD link.

A

Low whole-grain intake (explained 36 % of harm in diabetes) and high SSB intake (15 % in pre-DM).

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6
Q

Which biomarker mediated the greatest proportion of uPDI harm?

A

Serum cystatin C—15 % of excess risk in pre-DM and 44 % in diabetes, implicating the kidney-cardio axis.

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7
Q

Jadad score is only 1/5—does that invalidate the study?

A

No. Jadad penalises non-randomised designs; it doesn’t assess observational quality. Newcastle–Ottawa (9/9) and Downs-&-Black (24/28) confirm high methodological rigour.

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8
Q

Biggest residual confounder after multivariable adjustment?

A

Unmeasured diet quality change over 10 y; only baseline recalls were used, so later improvements or regressions aren’t captured.

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9
Q

How might 70 % attrition in pre-DM bias findings?

A

Healthy-volunteer bias: those who completed WebQs are likelier health-conscious, which could underestimate true harm of uPDI in the broader population.

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10
Q

Portion size isn’t captured—why is that important?

A

Quintile scoring ranks frequency but not grams; two small SSBs could equal one mega-bottle—limits translation into concrete serving advice.

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11
Q

Why is hPDI significant in pre-DM but null in DM?

A

Earlier disease stage retains metabolic plasticity; in established diabetes renal and vascular damage (reflected by high cystatin C) may blunt diet benefits.

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12
Q

Generalise these results to Afro-Caribbean populations?

A

Caution: cohort is >90 % White British; prior US studies found no PDI benefit in non-Hispanic Blacks, so replication in diverse groups is needed.

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13
Q

Difference between decomposition and mediation analyses here?

A

Decomposition partitions diet-score effect into food groups (e.g., whole-grains), while mediation quantifies biomarker pathways (e.g., cystatin C) explaining the diet–CVD link.

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14
Q

What is the Townsend Deprivation Index and why adjust for it?

A

A UK postcode-level socioeconomic score; deprivation correlates with both diet quality and CVD, so adjusting removes socioeconomic confounding.

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15
Q

If you had £500 K to translate these findings, what intervention would you test?

A

A pragmatic pre-DM trial swapping SSBs/refined grains for subsidised whole-grains & legumes, tracking cystatin C and CVD risk markers over 2 years.

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