ApoB over LDL-C and i will keep saying it
ApoB over LDL-C and i will keep saying it, and I am aware this is a minority view on this board.
How to make a panel worth comparing, which is most of the value people leave on the table.
Standardise the conditions: same lab, same fasting state, same rough time of day, same point in the week, similar hydration. Take a baseline before you change anything. Repeat any surprising value before acting on it. Change one thing at a time if you want to attribute anything to it.
Do that and a year of panels is a trend. Skip it and a year of panels is a collection of unrelated mornings, which is what most of the alarmed posts here are actually describing.
Why so many single values look alarming and turn out to be nothing.
A reference interval is built to contain about 95% of a healthy reference population, so one test in twenty falls outside one by construction. Add biological variation, assay imprecision, fasting state and time of day, and a genuinely stable person will produce occasional out-of-range results.
That is why repeat testing before acting is standard. Regression to the mean handles most of it. None of which means an out-of-range value should be ignored — it means it should be repeated and taken to somebody who can put it in context, which is emphatically not a ranked feed.
The confounding problem, stated plainly, because this board keeps stepping on it.
Substantial weight loss moves lipids, liver enzymes, insulin sensitivity markers and several others in its own right. If you are losing weight while taking something, any change in those markers has at least two candidate explanations and you cannot separate them from your own panel.
What you can do is standardise, take a baseline, keep the series long, and be honest in your posts about what is and is not attributable. The threads that say "this compound did X to my eGFR" almost never have the design to support the claim, mine included.
If somebody has the same thing measured a different way, post it next to mine and we will see whether they agree.
best — the order this archive was captured in
Substantial weight loss independently moves lipids, liver enzymes and several other markers. Attributing a change to a compound while losing weight is confounded by design.
Small fix — a reference interval is not a treatment target, and the post above uses them interchangeably.
Tracked eGFR against the weight trend for a year. The correlation was much weaker than I expected and that was worth knowing.
My fasting insulin moved and I spent a fortnight convinced I knew why. The repeat six weeks later was back in range and I had changed nothing.
Is that the same assay, or did the lab change platforms?
bring the numbers to someone qualified to read them
bring the numbers to someone qualified to read them
Adding the obvious one — take it to whoever ordered the panel. This board cannot read it for you.
draw at the same point in the week if you want comparability
Different laboratories use different assay platforms with different calibration. Comparing across labs adds a systematic offset that is invisible on the report.
Right, and weight loss itself moves several markers, so attribution is harder than these threads assume.
Left up. It is a question about how to compare panels, not a request for interpretation.
assay method matters, especially between different labs
Did anything else change in that window — training, intake, hydration?
Fasting or not, and what time of day?
Disagree with reading anything into that. One value, one morning, and you changed two other things in the same window.
Left up.
Disagreeing with this bit: that change is confounded by the weight loss itself and cannot be attributed.
- 1My fasting insulin moved and I spent a fortnight convinced I knew why. The…7 comments in this branch · started by u/jarno_karlsen
- 2Left up. It is a question about how to compare panels, not a request for…6 comments in this branch · started by u/lipid_panel_larry