unpopular opinion: most of what gets said here about baseline labs are guesswork
The title is the argument: unpopular opinion: most of what gets said here about baseline labs are guesswork. Here is the rest of it.
Reference intervals are typically the central 95% of a reference population. By construction one person in twenty falls outside one on any given test without anything being wrong.
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 ALT" almost never have the design to support the claim, mine included.
Repeat testing before acting is standard practice for a reason: regression to the mean does a lot of work on single outlying values.
Please do not ask me what dose you should be on. I genuinely do not know and neither does anyone else here.
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.
Same lab as the previous draw?
Left up. It is a question about how to compare panels, not a request for interpretation.
Yes. Repeat before you react. Almost every alarming single value I have posted here regressed on the repeat.
Tracked fasting insulin against the weight trend for a year. The correlation was much weaker than I expected and that was worth knowing.
Not convinced by the attribution. Weight loss alone moves that marker and you have no way to separate the two.
the trend line matters more than any single value
Nobody here can interpret your panel and this comment is not doing so. What a board can usefully do is help you ask better questions of somebody who can.
Brought the whole set to my clinician rather than one flagged value. Completely different conversation.
lab reference ranges are not treatment targets
Different laboratories use different assay platforms with different calibration. Comparing across labs adds a systematic offset that is invisible on the report.
Added ApoB to the panel after a thread here. It told me something the standard lipid panel had been hiding.
Right, and weight loss itself moves several markers, so attribution is harder than these threads assume.
same lab, same conditions, or you are comparing noise
Same view — ApoB if you add one thing. It answers a question the standard panel only gestures at.
Correction: that marker is reported in different units by different labs, which explains the tenfold difference you are seeing.
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one measurement is a point, two is a line, three is a trend
That is a non-fasting value and the interval you are comparing it against is a fasting one.
Took a baseline the week before starting purely because this board told me to. Best five minutes I have spent on this.
weight loss itself moves several of these independently
ApoB is the one worth adding if you only add one
Time of day, fasting state, hydration and recent exercise all move common markers. Standardising the draw conditions is free and it removes most of the apparent variability.
ApoB counts atherogenic particles rather than the cholesterol they carry, which is why it can diverge from LDL-C and why it is the addition most worth making.
- 1Same view — ApoB if you add one thing. It answers a question the standard…8 comments in this branch · started by u/chidi_abubakar
- 2Nobody here can interpret your panel and this comment is not doing so. What…7 comments in this branch · started by u/rekha_mwangi